Instructions to use JustFrederik/nllb-200-3.3B-ct2-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustFrederik/nllb-200-3.3B-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-200-3.3B-ct2-float16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JustFrederik/nllb-200-3.3B-ct2-float16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a1f3c01835dbd6d4b10e787f1b4e4e7fb33f49bf6a82222cd8f2b20b34efbed
- Size of remote file:
- 6.69 GB
- SHA256:
- 1c9fb67b14ffc70ca44410489f11ec36c39e03693980fb83cff468f3f4d1e195
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