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
- Xet hash:
- 4ca9e36f83e7687a0a0379b73fd930516e5a88fc82ae687dc90a4baef8539616
- Size of remote file:
- 369 MB
- SHA256:
- ddc1e1a5aabcf48363cf287a46d3ff983a5dc64d51acd2e6e4d8b2f2632494f1
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