Instructions to use JustFrederik/nllb-200-distilled-1.3B-ct2-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustFrederik/nllb-200-distilled-1.3B-ct2-float16 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="JustFrederik/nllb-200-distilled-1.3B-ct2-float16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JustFrederik/nllb-200-distilled-1.3B-ct2-float16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a6c096161a8d680e09287997679d3dc05826d6a26f7d74bb3ba398bf7b11420
- Size of remote file:
- 2.74 GB
- SHA256:
- 3abd626bf56d4523fa1669e9c736a76890b352527fe140eb8e645f2f7182750c
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