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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jbochi/candle-coedit-quantized") model = AutoModelForSeq2SeqLM.from_pretrained("jbochi/candle-coedit-quantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-small.gguf from jbochi/candle-coedit-quantized: direct link, hf CLI and curl.
- Browser
- Download file 78.2 MB
-
https://huggingface.co/jbochi/candle-coedit-quantized/resolve/main/model-small.gguf
- Command line
-
hf download hf://jbochi/candle-coedit-quantized/model-small.gguf
-
curl -L -o model-small.gguf https://huggingface.co/jbochi/candle-coedit-quantized/resolve/main/model-small.gguf
78.2 MB
- Xet hash:
- 71eb926d3e11b14f455878e8a12d710e68f7ca3ba742f1e9383afa273f06c67c
- Size of remote file:
- 78.2 MB
- SHA256:
- 603e9bd35821ffafe40cc2a25fe50ed3b3771d213dd55ee7c1d5cd023c35ec9f
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