Instructions to use DheerajNalapat/output_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DheerajNalapat/output_model_v2 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, "DheerajNalapat/output_model_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cafc2a12ddf071116e502d0a475e5a38b800484504ff013c9ea10cc3c32fbd9c
- Size of remote file:
- 4.92 kB
- SHA256:
- fd7f5255c911ac5e3872f2fe362b4ce3623d2f19a56f11b8ce2f1e461b375d63
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