Instructions to use ShehbazPatel/mistral-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShehbazPatel/mistral-finetuned-samsum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "ShehbazPatel/mistral-finetuned-samsum") - Notebooks
- Google Colab
- Kaggle
mistral-finetuned-samsum / runs /May28_03-28-54_a55cbefb4d18 /events.out.tfevents.1716867054.a55cbefb4d18.676.0
- Xet hash:
- 8e8877d73f7cb7befeab2ad337163b47c414be1ede7c482e87d41b5df1a94a53
- Size of remote file:
- 6.26 kB
- SHA256:
- ac4538027764e83207944f813e54785398231adea05646e2dc87c0b83015c74a
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