Instructions to use nhung02/6c0ff621-9fb4-4b3f-a3f8-171c02bdc0a4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung02/6c0ff621-9fb4-4b3f-a3f8-171c02bdc0a4 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, "nhung02/6c0ff621-9fb4-4b3f-a3f8-171c02bdc0a4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b71f5b26f87a3a40ab04cd4d823e48bc71678bf3c05d7f3c44455207fcd752d
- Size of remote file:
- 2.19 GB
- SHA256:
- d51bbdaec4934d70771cbbd555f80d706501c9f873d961e5e3612f12bb70d6e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.