Instructions to use Skskskd/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Skskskd/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Skskskd/test") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-50/optimizer.pt from Skskskd/test: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/Skskskd/test/resolve/main/checkpoint-50/optimizer.pt
- Command line
-
hf download hf://Skskskd/test/checkpoint-50/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Skskskd/test/resolve/main/checkpoint-50/optimizer.pt
9.09 MB
- Xet hash:
- c88a1fc61f60d4a5d39cd967eb6d7412296ace98435c294705a80d4150fde659
- Size of remote file:
- 9.09 MB
- SHA256:
- d4beca0f9ec1a01ac6ac2c41ec46d9882095bdd70f14287af3d0ebd95e96ee61
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