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 spiece.model from omarelsayeed/cc: direct link, hf CLI and curl.
- Browser
- Download file 2.44 MB
-
https://huggingface.co/omarelsayeed/cc/resolve/main/spiece.model
- Command line
-
hf download hf://omarelsayeed/cc/spiece.model
-
curl -L -o spiece.model https://huggingface.co/omarelsayeed/cc/resolve/main/spiece.model
2.44 MB
- Xet hash:
- 3691eff3ff08581d0322106e5279f26c58e9fd5fa12b4ede81bceeff1e78c407
- Size of remote file:
- 2.44 MB
- SHA256:
- 5c7ae4407451bf02b459edec774d0539a06615005dd34d5c85c5c06765ff1606
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