Instructions to use viv6267/Ip_test_3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use viv6267/Ip_test_3000 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "viv6267/Ip_test_3000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07b587c34a2154dd76ccec7dde83c20526c50e9d82a5b7a50c5820e71a021397
- Size of remote file:
- 5.37 kB
- SHA256:
- a80432e0cf83686476232fd26c17e70ebe6b6442ddbbc4ec841b1ad52c7a6084
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.