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:
- b647817276f48ea7622bd59832351e08e6554509ccd9acac5c3c230ebcc90666
- Size of remote file:
- 140 MB
- SHA256:
- 8ddcaf4b49e6ae3a3e6bfed2eabe642fbe9475c2d5427243583e2339ea0754d1
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