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:
- 429bd3bb03bf7f4f58d8d172e69f3ce9c382b0cc97b314d2b9b560dfe19dfd1b
- Size of remote file:
- 3.13 GB
- SHA256:
- b7b4b18204f61aaeb0137e21321a78cd009b3e45d81fef732b6dc3d5c35f9a03
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