Instructions to use eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204/resolve/main/last-checkpoint/optimizer.pt
114 kB
- Xet hash:
- 7ebc53f036f00b865c147f678890846645926c0d67458990a43e2eda56daafff
- Size of remote file:
- 114 kB
- SHA256:
- dcdb83093f3fd4f8bd4d77c30e21542b9a9039b6883b153f7bb9a3f42b9df72f
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