Instructions to use McmanusChen/MCL-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use McmanusChen/MCL-base with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "McmanusChen/MCL-base" ) - Notebooks
- Google Colab
- Kaggle
Download sentencepiece.bpe.model from McmanusChen/MCL-base: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/McmanusChen/MCL-base/resolve/main/sentencepiece.bpe.model
- Command line
-
hf download hf://McmanusChen/MCL-base/sentencepiece.bpe.model
-
curl -L -o sentencepiece.bpe.model https://huggingface.co/McmanusChen/MCL-base/resolve/main/sentencepiece.bpe.model
1.36 MB
- Xet hash:
- 400536af8976f27194648d9fa709d6bb93459f031a8102d3c27c7f39a384e76d
- Size of remote file:
- 1.36 MB
- SHA256:
- 3a60b4d1d1d8f70c8b2569c94540d4d9b7c694fd32e7a428ad0dcffaafaa3beb
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