Instructions to use unflowerq/Mixtral-8x7B-python_code_train_241023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unflowerq/Mixtral-8x7B-python_code_train_241023 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unflowerq/Mixtral-8x7B-python_code_train_241023", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28f92b3714e6ce604ab488bd2c8976e9668cd9deb51ec7810bb40610b89cd9bd
- Size of remote file:
- 109 MB
- SHA256:
- b2e8281fbcb928a6ff6f85ee3548a985a2cef77f16c599acb50addc9f6118299
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