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:
- 1d441321ff75d72144d1bc6343607365d97678cfd958b9f8e456b4141f34d12c
- Size of remote file:
- 5.49 GB
- SHA256:
- 44c94e81263bb6201728a78a19256d9a681f56bd65bc8e2bc62efc83889eb6ea
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