Instructions to use fredfalso/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fredfalso/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, "fredfalso/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 509e55d34f9708fdeda6f4f6b2dd6d0f92b74192eec6bed948493be9a41d11e6
- Size of remote file:
- 27.3 MB
- SHA256:
- 94f65f1bd309d4d709f1746846e2b93a5eec6be0e3166de35f3402182e263864
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