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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NDugar/m2m100_418M-fr") model = AutoModelForSeq2SeqLM.from_pretrained("NDugar/m2m100_418M-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NDugar/m2m100_418M-fr: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/NDugar/m2m100_418M-fr/resolve/main/training_args.bin
- Command line
-
hf download hf://NDugar/m2m100_418M-fr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NDugar/m2m100_418M-fr/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- c82097910501318afa462aa090c63d3fb3e27cf8a178ccff5b090bc62873d340
- Size of remote file:
- 2.93 kB
- SHA256:
- 424c70920cdfb408babf84addf8ebe27d27027d988bacdbee367b0e1897d8941
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