Instructions to use Caesaripse/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Caesaripse/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, "Caesaripse/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06b9e72477244a0e105da089ca72bc6524e7b57efbefdf58abf8bb9e7e0dd8a2
- Size of remote file:
- 4.92 kB
- SHA256:
- 35907fa9a726643a9957e2667778ea02f56c90052fa29d8338c16752951c71c9
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