Instructions to use slone/nllb-206-v2-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slone/nllb-206-v2-ct2-int8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("slone/nllb-206-v2-ct2-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is a version of slone/nllb-206-v2 compiled and quantized with CTranslate2.
It has been produced with
ct2-transformers-converter --model slone/nllb-206-v2 --output_dir nllb-206-v2-ct2-int8 --quantization int8 --force
How to run it: see https://opennmt.net/CTranslate2/guides/transformers.html?highlight=nllb#nllb.
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