Instructions to use tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846/resolve/main/last-checkpoint/optimizer.pt
168 MB
- Xet hash:
- ce3eef63602c5be7875ff3c5618a25286a38624d667288413e57754985320112
- Size of remote file:
- 168 MB
- SHA256:
- 75deba98266a7adac71bdd92e4160ead07109a9b0b726a16393c043bbf722d72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.