Instructions to use context-sbf/charm-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use context-sbf/charm-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("context-sbf/charm-large") model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/charm-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b12f1354ae4ec61b7912162fad0fe6d5f2f330ede9261c6535e9152bcc1ae7c
- Size of remote file:
- 3.52 kB
- SHA256:
- 1ce096e394f9e1b7cec94eb662c7da28b7ddf9aaee5154f27b48e4666148c25e
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