Instructions to use context-sbf/charm-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use context-sbf/charm-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("context-sbf/charm-xl") model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/charm-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1292ad2a2aa7e09c36162a8ed37a38cfaa2ad1215abf2b209cc0b4a9a5681e85
- Size of remote file:
- 3.52 kB
- SHA256:
- 83322a6656df31017f7220ca4911ae0c0dceb401e512e6e0b4fbd7b6250b1b5e
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