Instructions to use error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B") model = PeftModel.from_pretrained(base_model, "error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 556c54e27f729511b24f30f9b5e5e6c16fe83ec21f805d9439022f468bcd59cb
- Size of remote file:
- 6.78 kB
- SHA256:
- 45564da9cbf4725d39630209360dde004c4539b79db9bd4f31b913d18dd864cc
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