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/optimizer.pt from antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348: direct link, hf CLI and curl.
- Browser
- Download file 150 MB
-
https://huggingface.co/antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/antimage88/b0a457a3-245c-4003-9aa4-b7b7b87ed348/resolve/main/last-checkpoint/optimizer.pt
150 MB
- Xet hash:
- 8e3fe3555cb9847228a52ac8927a5f3e55d58a3ef9165cd94f8877f599e23bb1
- Size of remote file:
- 150 MB
- SHA256:
- 9df5e9b4404194ec2151bd6614d461226499e0f22c3fe1adf28819206d072430
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