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:
- d025cbfa2725c38289aa295f1a7c0ab48dc3cb6a16d6cd005a5ab4dc00378a7a
- Size of remote file:
- 1.47 kB
- SHA256:
- 624edc83d795c4b4c219a679dcf9a8467dd8fc40fd38a2415b413d6849e9b256
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