Instructions to use antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 74f696dc384323e9f7532d0dc8fefcb641ab7cf68c81c9b371f98450220bcf1d
- Size of remote file:
- 14.2 kB
- SHA256:
- 503bba02ead32ef1bbc944334a02d0335677cc620e54a4b6936c6a2adfbfacb2
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