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:
- a75963431961af695d119f4d2bc5c41c727d0ebbee4dd6c18cfd92fd7f910e34
- Size of remote file:
- 140 MB
- SHA256:
- ec96f19a0f0ef6ce504407de076c211d91d67e95e0d95038bcd31c7d6e51d320
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