Instructions to use cwkeam/mctc-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cwkeam/mctc-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import MCTCForCTC model = MCTCForCTC.from_pretrained("cwkeam/mctc-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cwkeam/mctc-large: direct link, hf CLI and curl.
- Browser
- Download file 4.24 GB
-
https://huggingface.co/cwkeam/mctc-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cwkeam/mctc-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cwkeam/mctc-large/resolve/main/pytorch_model.bin
4.24 GB
- Xet hash:
- fa7134bb0a1e8832f8da9a4eedd54dafbe7acb5da36a21d72a565f8fd869f0f9
- Size of remote file:
- 4.24 GB
- SHA256:
- c72a45a7412319f841cc6c7fb2891657f7f37c4bab23cc5084a51d2796bf9a9d
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