Instructions to use Andres-1/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Andres-1/mistral7binstruct_summarize with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Andres-1/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3645d50c02ad53ffc138bad72b05066aefa0def7cfa5442f22b40441dab069d5
- Size of remote file:
- 4.92 kB
- SHA256:
- 089279c1758cdba11d844d3550accb53d7527bf4c1d9aee382afa35c99412131
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