Instructions to use PriyanshuRauth/Model_Red with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PriyanshuRauth/Model_Red with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "PriyanshuRauth/Model_Red") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-272/optimizer.pt from PriyanshuRauth/Model_Red: direct link, hf CLI and curl.
- Browser
- Download file 6.55 MB
-
https://huggingface.co/PriyanshuRauth/Model_Red/resolve/main/checkpoint-272/optimizer.pt
- Command line
-
hf download hf://PriyanshuRauth/Model_Red/checkpoint-272/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/PriyanshuRauth/Model_Red/resolve/main/checkpoint-272/optimizer.pt
6.55 MB
- Xet hash:
- a506bd4e792aa4100cd033512d3fd6b5eb2869dd54072ef9360ce7b043e11dbc
- Size of remote file:
- 6.55 MB
- SHA256:
- a1fffeb647433c2de7a5df7b82ed4882ac768079a91953ad0eef667ab5bed7b8
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