Instructions to use kejian/cpsc-quark10-3rep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/cpsc-quark10-3rep with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/cpsc-quark10-3rep") model = AutoModel.from_pretrained("kejian/cpsc-quark10-3rep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac5cebad5db7228fa4d88f9999e9d6f4567498692fa8a6c83617f3bb9742754a
- Size of remote file:
- 3.45 kB
- SHA256:
- 7408220fe7c17bdc5b3713cf4c307e528c595c54b07d321f8a6207814346df76
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