Instructions to use jbochi/candle-coedit-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbochi/candle-coedit-quantized with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("jbochi/candle-coedit-quantized") model = AutoModelForMultimodalLM.from_pretrained("jbochi/candle-coedit-quantized") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92133aa498865f4e2f1a11e50d42e326957f4540b4a55c5644685214a1d3ce4e
- Size of remote file:
- 9.14 GB
- SHA256:
- 5dc0a4bebe963813811cff8db909995182891b18974effe98a62982baf420999
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