Instructions to use omarelsayeed/cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/cc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("omarelsayeed/cc") model = AutoModelForSeq2SeqLM.from_pretrained("omarelsayeed/cc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from omarelsayeed/cc: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/omarelsayeed/cc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://omarelsayeed/cc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/omarelsayeed/cc/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- e4ecb7ea6e6c2ad7b7835562d91700071dd51af2193ac674fc714bf13a9dac4d
- Size of remote file:
- 1.13 GB
- SHA256:
- 0d340dac35872fb64a80759b5b0a50f1d3971464758e80cf3fe1d3f273ec24b0
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