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
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| <h1>Directory listing for /.log/explain-model-xl/</h1> | |
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| <li><a href="answer.csv">answer.csv</a></li> | |
| <li><a href="config.json">config.json</a></li> | |
| <li><a href="pytorch_model-00001-of-00002.bin">pytorch_model-00001-of-00002.bin</a></li> | |
| <li><a href="pytorch_model-00002-of-00002.bin">pytorch_model-00002-of-00002.bin</a></li> | |
| <li><a href="pytorch_model.bin.index.json">pytorch_model.bin.index.json</a></li> | |
| <li><a href="results.csv">results.csv</a></li> | |
| <li><a href="special_tokens_map.json">special_tokens_map.json</a></li> | |
| <li><a href="spiece.model">spiece.model</a></li> | |
| <li><a href="tokenizer_config.json">tokenizer_config.json</a></li> | |
| <li><a href="training_args.bin">training_args.bin</a></li> | |
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