Instructions to use dibyendubiswas1998/llm-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dibyendubiswas1998/llm-test 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, "dibyendubiswas1998/llm-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a07155b39a8b8330a244fd09e300f9711d6a0eb506611a1d81315e582180c1cc
- Size of remote file:
- 1.06 kB
- SHA256:
- 6088f970b1f0429ad85e576795204ef9269ce142d6ce9c2595b5649efde833b6
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