Instructions to use fedovtt/16459f45-01d7-4d7f-9074-a940b72ddd98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/16459f45-01d7-4d7f-9074-a940b72ddd98 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "fedovtt/16459f45-01d7-4d7f-9074-a940b72ddd98") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f5fa711b5d538efc6d7c6bacc3c466c2e2838ad0b6d8796e1aa23556396f00c
- Size of remote file:
- 336 MB
- SHA256:
- 539a159c1e91706d182667a5e73465c958b7a33c803b72d999499ef523c06280
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