Instructions to use ychenNLP/nllb-200-distilled-1.3B-easyproject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ychenNLP/nllb-200-distilled-1.3B-easyproject 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="ychenNLP/nllb-200-distilled-1.3B-easyproject")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ychenNLP/nllb-200-distilled-1.3B-easyproject") model = AutoModelForSeq2SeqLM.from_pretrained("ychenNLP/nllb-200-distilled-1.3B-easyproject", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Merge branch 'main' of https://huggingface.co/ychenNLP/nllb-200-distilled-1.3B-easyproject into main 099244e
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Update README.md 3218b3f
Create README.md f0f8366
fix nllb error in huggingface 17894d6
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Huggingface nllb tokenization issue 0602737
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new tokenization nllb 9d1cf4e
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x 449e888
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