Instructions to use JustFrederik/nllb-200-1.3B-ct2-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustFrederik/nllb-200-1.3B-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-200-1.3B-ct2-float16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JustFrederik/nllb-200-1.3B-ct2-float16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a489e3742cd1670790cfceed94fb0c841f9a851cabf1e333996dedf9b088576
- Size of remote file:
- 2.74 GB
- SHA256:
- ad96f641d5a5ac70235ebe7f9745796cd15c89fe5cbbbaf547cd258ab5b89718
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