Instructions to use KomorebiAI/nllb-200-3.3B-float16-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KomorebiAI/nllb-200-3.3B-float16-ct2 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="KomorebiAI/nllb-200-3.3B-float16-ct2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KomorebiAI/nllb-200-3.3B-float16-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from KomorebiAI/nllb-200-3.3B-float16-ct2: direct link, hf CLI and curl.
- Browser
- Download file 6.69 GB
-
https://huggingface.co/KomorebiAI/nllb-200-3.3B-float16-ct2/resolve/main/model.bin
- Command line
-
hf download hf://KomorebiAI/nllb-200-3.3B-float16-ct2/model.bin
-
curl -L -o model.bin https://huggingface.co/KomorebiAI/nllb-200-3.3B-float16-ct2/resolve/main/model.bin
6.69 GB
- Xet hash:
- 62eb480ec76306af44a923b352909a4c2e06b5901d67ba8115034624081f7084
- Size of remote file:
- 6.69 GB
- SHA256:
- 4cf267b3c923f2bb132e650955f1d7d462791451412a3947601b8d8b90df019d
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