Instructions to use error577/4e03c89a-8b75-498e-b418-baeb044e5bd5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/4e03c89a-8b75-498e-b418-baeb044e5bd5 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, "error577/4e03c89a-8b75-498e-b418-baeb044e5bd5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from error577/4e03c89a-8b75-498e-b418-baeb044e5bd5: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/error577/4e03c89a-8b75-498e-b418-baeb044e5bd5/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://error577/4e03c89a-8b75-498e-b418-baeb044e5bd5/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/error577/4e03c89a-8b75-498e-b418-baeb044e5bd5/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 9e3af65e1bec9f7e27e585897dcaee2c7f12f2d3bcdf980722def0cd71218222
- Size of remote file:
- 14.2 kB
- SHA256:
- 9bd47fa3613805a7f10d313ea783a9a8cd53653218219206ca2e0bdb414ce1c4
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