Instructions to use eeeebbb2/5cfacbdc-e852-40fb-a08e-e77f88e3e83b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5cfacbdc-e852-40fb-a08e-e77f88e3e83b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5cfacbdc-e852-40fb-a08e-e77f88e3e83b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56c5617f39e670f61d31d208fd904054b0cd8e97b3dd1b647fb88f3fb2921292
- Size of remote file:
- 2.44 GB
- SHA256:
- 8a0ca05cbf37f6d59e4e85bff985be816b6edcf278c5642cd8ea89c70fdec3a4
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