Instructions to use michaelfeil/ct2fast-mpt-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-mpt-7b-chat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-mpt-7b-chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f031b5428733541d5c2c091771819443102163364127412e4687812c5158ddc
- Size of remote file:
- 13.3 GB
- SHA256:
- 9a72ba13c6999bc647fb4f8082f82a62987ce7f53f68fd6e4563bc203e406bce
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