Instructions to use DheerajNalapat/output_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DheerajNalapat/output_model 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2f573b60d566659bdc6b42e395985a32eaebffe45548f63d7f58fb7dbbb3941
- Size of remote file:
- 4.98 kB
- SHA256:
- 8f4526ad29668948ad9db7e358d2db34ee42e8fa0b09bee87f380a0217fba205
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