diff --git a/machine/translation/huggingface/hugging_face_nmt_model_trainer.py b/machine/translation/huggingface/hugging_face_nmt_model_trainer.py
index 3991383..3fc0b34 100644
--- a/machine/translation/huggingface/hugging_face_nmt_model_trainer.py
+++ b/machine/translation/huggingface/hugging_face_nmt_model_trainer.py
@@ -227,7 +227,7 @@ def add_lang_code_to_tokenizer(tokenizer: Any, lang_code: str):
             lang_id = tokenizer.convert_tokens_to_ids(lang_code)
             tokenizer.lang_code_to_id[lang_code] = lang_id
 
-            if isinstance(tokenizer, (NllbTokenizer, MBart50Tokenizer, MBartTokenizer)):
+            if isinstance(tokenizer, (MBart50Tokenizer, MBartTokenizer)):
                 tokenizer.id_to_lang_code[lang_id] = lang_code
                 tokenizer.fairseq_tokens_to_ids[lang_code] = lang_id
                 tokenizer.fairseq_ids_to_tokens[lang_id] = lang_code
@@ -276,7 +276,7 @@ def add_lang_code_to_tokenizer(tokenizer: Any, lang_code: str):
 
             # For multilingual translation models like mBART-50 and M2M100 we need to force the target language token
             # as the first generated token. We ask the user to explicitly provide this as --forced_bos_token argument.
-            forced_bos_token_id = tokenizer.lang_code_to_id[self._tgt_lang]
+            forced_bos_token_id = tokenizer.convert_tokens_to_ids(self._tgt_lang)
             model.config.forced_bos_token_id = forced_bos_token_id
             if model.generation_config is not None:
                 model.generation_config.forced_bos_token_id = forced_bos_token_id
diff --git a/poetry.lock b/poetry.lock
index 035785a..f431bba 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -967,88 +967,103 @@ files = [
 
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+version = "1.5.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
@@ -3024,13 +3039,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pyright"
-version = "1.1.385"
+version = "1.1.386"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -4041,111 +4056,111 @@ test = ["pytest", "ruff"]
 
 [[package]]
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 description = ""
 optional = false
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-tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
-tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-timm = ["timm"]
-tokenizers = ["tokenizers (>=0.19,<0.20)"]
-torch = ["accelerate (>=0.21.0)", "torch"]
+tiktoken = ["blobfile", "tiktoken"]
+timm = ["timm (<=0.9.16)"]
+tokenizers = ["tokenizers (>=0.20,<0.21)"]
+torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -4763,4 +4781,4 @@ thot = ["sil-thot"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "734f4f87aea468860fe6d80f4cc8b4cdbc1d1f5d6fdbf1b6d5530ced731f3c21"
+content-hash = "6e4f906d17f8ef3fc75eef642f49ed6b2c6ff82f6656fd6c14325dde9e57fab6"
diff --git a/pyproject.toml b/pyproject.toml
index 69f3aae..45d1842 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -62,7 +62,7 @@ charset-normalizer = "^2.1.1"
 sentencepiece = "^0.2.0"
 sil-thot = "^3.4.4"
 # huggingface extras
-transformers = "4.41.2"
+transformers = "^4.45.0"
 datasets = "^3.0.0"
 sacremoses = "^0.1.0"
 # job extras