Instructions to use EdBerg/trained_model_mistral7b_completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBerg/trained_model_mistral7b_completion with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EdBerg/trained_model_mistral7b_completion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c20a39e486c8b9d9ed2ab5ebd22c2664f65ca72fd2df07b3342cd9040a4c79e
- Size of remote file:
- 5.3 kB
- SHA256:
- cdbf4fe0f9c3a99657433606474c08fae60539d67443cab6bdff67a0b730d12d
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