Instructions to use AnonymousSub/cline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/cline with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/cline") model = AutoModelForPreTraining.from_pretrained("AnonymousSub/cline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777939aaeb6f0ba95cb2f939b62eba85655f73513fed95565db3fedfb32b2a79
- Size of remote file:
- 504 MB
- SHA256:
- 36c8b42d66f509e13ecf7cd08f13f2a9a73b2ba28576d06c425527a81e69913c
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