Instructions to use mrHungddddh/ca2fa63d-c96b-4b5d-88df-4841dd2f4e51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/ca2fa63d-c96b-4b5d-88df-4841dd2f4e51 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer") model = PeftModel.from_pretrained(base_model, "mrHungddddh/ca2fa63d-c96b-4b5d-88df-4841dd2f4e51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b8e7f2bcbb1eb193b74f65b061f45583da506d7c45f3dff145a52cab4bb3bae
- Size of remote file:
- 83.9 MB
- SHA256:
- 6b93e3342a16fc6e7aee184e54fbced88068c24b6031192cce2398bb39dac8f5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.