Instructions to use eeeebbb2/d71138ac-096d-47bd-b575-b4e14a1f8fc9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/d71138ac-096d-47bd-b575-b4e14a1f8fc9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/d71138ac-096d-47bd-b575-b4e14a1f8fc9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02704bb02608f55cfc26c689214c96c22d6ec58ba971e7092dbecfa8001795a1
- Size of remote file:
- 6.84 kB
- SHA256:
- 03c0adbed4f8be7f77bf388852f154417942dbaa5f0d6de4cec38d258b3874f5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.