Instructions to use raqibcodes/c2c-checkpoints-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raqibcodes/c2c-checkpoints-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("raqibcodes/c2c-checkpoints-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95ae7314682d768c0d942fbe931ff90e8261d4fa75f4b6c92e1ec571a3724d77
- Size of remote file:
- 5.71 kB
- SHA256:
- 7ce060488f05343f0437ad90e26b0a95fbf802432a19bd58f1082d6c190ec4c8
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