Translation
Transformers
PyTorch
Safetensors
m2m_100
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use NDugar/m2m100_418M-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/m2m100_418M-fr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="NDugar/m2m100_418M-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("NDugar/m2m100_418M-fr") model = AutoModelForMultimodalLM.from_pretrained("NDugar/m2m100_418M-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9721cb34ad6fcebc5eaa4524d5877b7e303608332f653db4aefa228389e8b54f
- Size of remote file:
- 1.94 GB
- SHA256:
- b0eb7506f68aaf729057c0c0eca2e0b66b3786066e541f4ca1cab00fae226f18
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