Instructions to use krishanusinha20/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use krishanusinha20/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, "krishanusinha20/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a7af8deed6de2228139b2da6ca44659a33e1f1352dae4a161dd8df2801420fe
- Size of remote file:
- 4.92 kB
- SHA256:
- b1b1ec12913622d473fc7dbaea692ef7f9f043915e696690295a66d7e3b03038
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