diff --git a/bindings/python/py_src/tokenizers/processors/__init__.py b/bindings/python/py_src/tokenizers/processors/__init__.py
index 7b9ae056..ec00a6a0 100644
--- a/bindings/python/py_src/tokenizers/processors/__init__.py
+++ b/bindings/python/py_src/tokenizers/processors/__init__.py
@@ -4,3 +4,4 @@ PostProcessor = processors.PostProcessor
 BertProcessing = processors.BertProcessing
 RobertaProcessing = processors.RobertaProcessing
 ByteLevel = processors.ByteLevel
+TemplateProcessing = processors.TemplateProcessing
diff --git a/bindings/python/py_src/tokenizers/processors/__init__.pyi b/bindings/python/py_src/tokenizers/processors/__init__.pyi
index 61143214..5cde2b90 100644
--- a/bindings/python/py_src/tokenizers/processors/__init__.pyi
+++ b/bindings/python/py_src/tokenizers/processors/__init__.pyi
@@ -1,4 +1,4 @@
-from typing import Tuple
+from typing import Tuple, Union, List
 
 class PostProcessor:
     """ Base class for all post-processors
@@ -89,7 +89,7 @@ class ByteLevel(PostProcessor):
     want the offsets to include these whitespaces, then this PostProcessor must be used.
     """
 
-    def __init(self, trim_offsets: bool = True) -> None:
+    def __init__(self, trim_offsets: bool = True) -> None:
         """ Instantiate a new ByteLevel
 
         Args:
@@ -97,3 +97,67 @@ class ByteLevel(PostProcessor):
                 Whether to trim the whitespaces from the produced offsets.
         """
         pass
+
+Template = Union[str, List[str]]
+Tokens = List[Union[Tuple[int, str], Tuple[str, int], dict]]
+
+class TemplateProcessing(PostProcessor):
+    """ TemplateProcessing
+
+    Provides a way to specify templates in order to add the special tokens to each
+    input sequence as relevant.
+
+    Let's take `BERT` tokenizer as an example. It uses two special tokens, used to
+    delimitate each sequence. `[CLS]` is always used at the beginning of the first
+    sequence, and `[SEP]` is added at the end of both the first, and the pair
+    sequences. The final result looks like this:
+        - Single sequence: `[CLS] Hello there [SEP]`
+        - Pair sequences: `[CLS] My name is Anthony [SEP] What is my name? [SEP]`
+
+    You can achieve such behavior using a TemplateProcessing:
+    ```
+    TemplateProcessing(
+        seq_a="[CLS] $0 [SEP]",
+        seq_b="$1 [SEP]",
+        special_tokens=[("[CLS]", 1), ("[SEP]", 0)],
+    )
+    ```
+
+    In this example, $0 and $1 both represent the input sequences. The number in this
+    identifier is actually the default type_id that will be used for each sequence. So,
+    in this case, the first sequence will use 0, while the pair sequence will use 1.
+
+    Note that we are saying the "default" type_id because each SpecialToken can define
+    its own type_id which would override the provided default.
+    """
+
+    def __init__(self, seq_a: Template, seq_b: Template, special_tokens: Tokens) -> None:
+        """ Instantiate a new TemplateProcessing
+
+        Args:
+            seq_a: Template
+                The template for the first sequence.
+
+            seq_b: Template:
+                The template for the pair sequence.
+
+            special_tokens: Tokens:
+                The list of special tokens used in each sequences
+
+        Template: Union[str, List[str]]:
+            - If a `str` is provided, the whitespace is used as delimiter between tokens
+            - If a `List[str]` is provided, a list of tokens
+
+        Tokens: List[Union[Tuple[int, str], Tuple[str, int], dict]]:
+            - A Tuple with both a token and its associated ID, in any order
+            - A dict with the following keys:
+                - "id": str => The special token id, as specified in the Template
+                - "ids": List[int] => The associated IDs
+                - "tokens": List[str] => The associated tokens
+                - "type_ids": Optional[List[Optional[int]]] => If specified, a list of optional
+                  type_ids. In the `type_id` is not specified, the one from the input sequence
+                  will be used.
+             The given dict expects the provided `ids`, `tokens` and `type_ids` lists to have
+             the same length.
+        """
+        pass
diff --git a/bindings/python/src/lib.rs b/bindings/python/src/lib.rs
index 0ecbd247..a04449d5 100644
--- a/bindings/python/src/lib.rs
+++ b/bindings/python/src/lib.rs
@@ -1,3 +1,5 @@
+#![warn(clippy::all)]
+
 extern crate tokenizers as tk;
 
 mod decoders;
@@ -90,6 +92,7 @@ fn processors(_py: Python, m: &PyModule) -> PyResult<()> {
     m.add_class::<processors::PyBertProcessing>()?;
     m.add_class::<processors::PyRobertaProcessing>()?;
     m.add_class::<processors::PyByteLevel>()?;
+    m.add_class::<processors::PyTemplateProcessing>()?;
     Ok(())
 }
 
diff --git a/bindings/python/src/processors.rs b/bindings/python/src/processors.rs
index bbd530b6..039e7b49 100644
--- a/bindings/python/src/processors.rs
+++ b/bindings/python/src/processors.rs
@@ -4,10 +4,12 @@ use pyo3::exceptions;
 use pyo3::prelude::*;
 use pyo3::types::*;
 
+use crate::error::ToPyResult;
 use serde::{Deserialize, Serialize};
 use tk::processors::bert::BertProcessing;
 use tk::processors::byte_level::ByteLevel;
 use tk::processors::roberta::RobertaProcessing;
+use tk::processors::template::{SpecialToken, Template};
 use tk::processors::PostProcessorWrapper;
 use tk::{Encoding, PostProcessor};
 use tokenizers as tk;
@@ -38,6 +40,9 @@ impl PyPostProcessor {
             PostProcessorWrapper::Roberta(_) => {
                 Py::new(py, (PyRobertaProcessing {}, base)).map(Into::into)
             }
+            PostProcessorWrapper::Template(_) => {
+                Py::new(py, (PyTemplateProcessing {}, base)).map(Into::into)
+            }
         }
     }
 }
@@ -158,6 +163,104 @@ impl PyByteLevel {
     }
 }
 
+#[derive(Clone, Debug)]
+pub struct PySpecialToken(SpecialToken);
+
+impl From<PySpecialToken> for SpecialToken {
+    fn from(v: PySpecialToken) -> Self {
+        v.0
+    }
+}
+
+impl FromPyObject<'_> for PySpecialToken {
+    fn extract(ob: &PyAny) -> PyResult<Self> {
+        if let Ok(v) = ob.extract::<(String, u32)>() {
+            Ok(Self(v.into()))
+        } else if let Ok(v) = ob.extract::<(u32, String)>() {
+            Ok(Self(v.into()))
+        } else if let Ok(d) = ob.downcast::<PyDict>() {
+            let id = d
+                .get_item("id")
+                .ok_or_else(|| exceptions::ValueError::py_err("`id` must be specified"))?
+                .extract::<String>()?;
+            let ids = d
+                .get_item("ids")
+                .ok_or_else(|| exceptions::ValueError::py_err("`ids` must be specified"))?
+                .extract::<Vec<u32>>()?;
+            let type_ids = d.get_item("type_ids").map_or_else(
+                || Ok(vec![None; ids.len()]),
+                |v| v.extract::<Vec<Option<u32>>>(),
+            )?;
+            let tokens = d
+                .get_item("tokens")
+                .ok_or_else(|| exceptions::ValueError::py_err("`tokens` must be specified"))?
+                .extract::<Vec<String>>()?;
+
+            Ok(Self(
+                ToPyResult(SpecialToken::new(id, ids, type_ids, tokens)).into_py()?,
+            ))
+        } else {
+            Err(exceptions::TypeError::py_err(
+                "Expected Union[Tuple[str, int], Tuple[int, str], dict]",
+            ))
+        }
+    }
+}
+
+#[derive(Clone, Debug)]
+pub struct PyTemplate(Template);
+
+impl From<PyTemplate> for Template {
+    fn from(v: PyTemplate) -> Self {
+        v.0
+    }
+}
+
+impl FromPyObject<'_> for PyTemplate {
+    fn extract(ob: &PyAny) -> PyResult<Self> {
+        if let Ok(s) = ob.extract::<&str>() {
+            Ok(Self(s.into()))
+        } else if let Ok(s) = ob.extract::<Vec<&str>>() {
+            Ok(Self(s.into()))
+        } else {
+            Err(exceptions::TypeError::py_err(
+                "Expected Union[str, List[str]]",
+            ))
+        }
+    }
+}
+
+#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name=TemplateProcessing)]
+pub struct PyTemplateProcessing {}
+#[pymethods]
+impl PyTemplateProcessing {
+    #[new]
+    #[args(seq_a = "None", seq_b = "None", special_tokens = "None")]
+    fn new(
+        seq_a: Option<PyTemplate>,
+        seq_b: Option<PyTemplate>,
+        special_tokens: Option<Vec<PySpecialToken>>,
+    ) -> PyResult<(Self, PyPostProcessor)> {
+        let mut builder = tk::processors::template::TemplateProcessing::builder();
+
+        if let Some(seq) = seq_a {
+            builder.sequence_a(seq);
+        }
+        if let Some(seq) = seq_b {
+            builder.sequence_b(seq);
+        }
+        if let Some(sp) = special_tokens {
+            builder.special_tokens(sp);
+        }
+        let processor = builder.build().map_err(exceptions::ValueError::py_err)?;
+
+        Ok((
+            PyTemplateProcessing {},
+            PyPostProcessor::new(Arc::new(processor.into())),
+        ))
+    }
+}
+
 #[cfg(test)]
 mod test {
     use std::sync::Arc;
diff --git a/bindings/python/tests/bindings/test_processors.py b/bindings/python/tests/bindings/test_processors.py
index 5f6d2f06..aba1f14b 100644
--- a/bindings/python/tests/bindings/test_processors.py
+++ b/bindings/python/tests/bindings/test_processors.py
@@ -5,7 +5,13 @@ from ..utils import data_dir, roberta_files
 from tokenizers import Tokenizer
 from tokenizers.models import BPE
 from tokenizers.pre_tokenizers import ByteLevel as ByteLevelPreTokenizer
-from tokenizers.processors import PostProcessor, BertProcessing, RobertaProcessing, ByteLevel
+from tokenizers.processors import (
+    PostProcessor,
+    BertProcessing,
+    RobertaProcessing,
+    ByteLevel,
+    TemplateProcessing,
+)
 
 
 class TestBertProcessing:
@@ -73,3 +79,78 @@ class TestByteLevelProcessing:
         output = tokenizer.encode("My name is John")
         assert output.tokens == ["ĠMy", "Ġname", "Ġis", "ĠJohn"]
         assert output.offsets == [(0, 2), (3, 7), (8, 10), (11, 15)]
+
+
+class TestTemplateProcessing:
+    def get_bert(self):
+        return TemplateProcessing(
+            seq_a=["[CLS]", "$0", "[SEP]"],
+            seq_b=["$1", "[SEP]"],
+            special_tokens=[("[CLS]", 1), ("[SEP]", 0)],
+        )
+
+    def get_roberta(self):
+        return TemplateProcessing(
+            seq_a="<s> $0 </s>", seq_b="</s> $0 </s>", special_tokens=[("<s>", 0), ("</s>", 1)],
+        )
+
+    def get_t5_squad(self):
+        # >>> from transformers import AutoTokenizer
+        # >>> tok = AutoTokenizer.from_pretrained("t5-small")
+        # >>> tok.tokenize("question: ")
+        # ['▁question', ':']
+        # >>> tok.tokenize("context: ")
+        # ['▁context', ':']
+        # >>> tok.encode("context: ")
+        # [2625, 10]
+        # >>> tok.encode("question: ")
+        # [822, 10]
+
+        return TemplateProcessing(
+            seq_a=["Q", "$0"],
+            seq_b=["C", "$1"],
+            special_tokens=[
+                {
+                    "id": "Q",
+                    "ids": [2625, 10],
+                    "type_ids": [None, None],
+                    "tokens": ["_question", ":"],
+                },
+                {
+                    "id": "C",
+                    "ids": [822, 10],
+                    "type_ids": [None, None],
+                    "tokens": ["_context", ":"],
+                },
+            ],
+        )
+
+    def test_instantiate(self):
+        bert = self.get_bert()
+        assert bert is not None
+        assert isinstance(bert, PostProcessor)
+        assert isinstance(bert, TemplateProcessing)
+        assert isinstance(pickle.loads(pickle.dumps(bert)), TemplateProcessing)
+
+    def test_bert_parity(self):
+        tokenizer = Tokenizer(BPE())
+        tokenizer.add_special_tokens(["[SEP]", "[CLS]"])
+        tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
+        tokenizer.post_processor = BertProcessing(("[SEP]", 0), ("[CLS]", 1))
+
+        original = tokenizer.encode("my name", "pair")
+
+        tokenizer.post_processor = self.get_bert()
+        template = tokenizer.encode("my name", "pair")
+        assert original.ids == template.ids
+
+    def test_roberta_parity(self):
+        tokenizer = Tokenizer(BPE())
+        tokenizer.add_special_tokens(["<s>", "</s>"])
+        tokenizer.add_tokens(["my", "name", "is", "john", "pair"])
+        tokenizer.post_processor = RobertaProcessing(("</s>", 1), ("<s>", 0))
+
+        original = tokenizer.encode("my name is john", "pair")
+        tokenizer.post_processor = self.get_roberta()
+        template = tokenizer.encode("my name is john", "pair")
+        assert original.ids == template.ids