Instructions to use YashaP/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YashaP/output with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "YashaP/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc6eef34d7b40769d98f6a6b009aa34f8ea69dd8d47dfbb6079e245bd88d5c4b
- Size of remote file:
- 4.66 kB
- SHA256:
- 181b6627fc9712d709cfe1aab93ba890c6148bde172a525bcbd375601aa7697b
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