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-270/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-270/optimizer.pt
- Command line
-
hf download hf://PriyanshuRauth/Model_Red/checkpoint-270/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/PriyanshuRauth/Model_Red/resolve/main/checkpoint-270/optimizer.pt
6.55 MB
- Xet hash:
- 2109fce9cc3f3da8d00ea346787f4aef2d5ba37710fee5f2a42a7dea5b2fbf84
- Size of remote file:
- 6.55 MB
- SHA256:
- 3f40c7dbde2433e0ac132e524cef7d1c719f0eb1bf94009262e69329b16745ea
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