Instructions to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state_0.pth from eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f: direct link, hf CLI and curl.
- Browser
- Download file 15 kB
-
https://huggingface.co/eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f/resolve/main/last-checkpoint/rng_state_0.pth
- Command line
-
hf download hf://eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f/last-checkpoint/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f/resolve/main/last-checkpoint/rng_state_0.pth
15 kB
- Xet hash:
- 623e3f807395085d6c06f781852ea3ddb13dde4e36bd83759a6c43ac2fc9ca36
- Size of remote file:
- 15 kB
- SHA256:
- 7e0b0397df693c187968332e284335351af966412853724bf34f7abc6e4d24c2
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