Instructions to use Jour/m2m100_418M-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jour/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="Jour/m2m100_418M-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jour/m2m100_418M-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Jour/m2m100_418M-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33afba70669e8582345e81afede20b056bbe3b752add7a4e31ee014343fc9549
- Size of remote file:
- 3.12 kB
- SHA256:
- c1f321298b40a9732628fa724041a87f5abeaf8745864f9c71a8b908c93964a0
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