Instructions to use facebook/nllb-200-3.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/nllb-200-3.3B 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="facebook/nllb-200-3.3B")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-3.3B") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-3.3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0202f54e596c03be98c5a537e9214967476071dce868ac20a7a42ad57fdd1f7b
- Size of remote file:
- 17.3 MB
- SHA256:
- e316b82de11d0f951f370943b3c438311629547285129b0b81dadabd01bca665
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