Instructions to use nluai/test_format3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nluai/test_format3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vinai/PhoGPT-4B-Chat") model = PeftModel.from_pretrained(base_model, "nluai/test_format3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8ba5307c8c8734c702210be853fac5d5f593abde2448404fdd43a0565488e1a
- Size of remote file:
- 403 MB
- SHA256:
- 4b406496adfa6f002abb7ac331fbb35d5f09c6cf1337d0ca39c5fb059cc6547a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.