Instructions to use dipeshtech/mistral7binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dipeshtech/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, "dipeshtech/mistral7binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f614f73b89d1996d8b19f66e6a32d1b0b0952b71d98d7a69b66e214b16bf1e
- Size of remote file:
- 27.3 MB
- SHA256:
- b439c696496a1e9218a9d61f6f4872970d3225976644e7a88cb776969fc53c98
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