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:
- 96a27609c5840d0fb5dc9b5901cb95070713ab4d72603b5fb36204d1a325b987
- Size of remote file:
- 1.94 GB
- SHA256:
- 3e0750737b002d7e172a8a3473f3a4d470cac7cc7b121321356ff7b36247278b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.