Instructions to use vinitlondhe21/mistral7b-finetuned-samsum-gptq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vinitlondhe21/mistral7b-finetuned-samsum-gptq 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, "vinitlondhe21/mistral7b-finetuned-samsum-gptq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16a0836f9d6f92c55adb8bc5cd721bd1eef8c4a39a682c6dc042aa525d3d7ce1
- Size of remote file:
- 27.3 MB
- SHA256:
- a4d3b92d669f1bc22c39f698790f7431eb8791562b76201400ee079b02f631f5
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