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:
- 2ec9fe0437f3111f36898c4c4151a499d058a275fa1e489c9e9039374f4c47a6
- Size of remote file:
- 54.6 MB
- SHA256:
- e2cf6f0549f170e7f05f2ea5ef0ba743128172d90f43004c447c23f92648a5d6
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