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_1.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_1.pth
- Command line
-
hf download hf://eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f/last-checkpoint/rng_state_1.pth
-
curl -L -o rng_state_1.pth https://huggingface.co/eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f/resolve/main/last-checkpoint/rng_state_1.pth
15 kB
- Xet hash:
- 30b26678494955e4d05a24010707f01c858d7cdea5f36b53780cd6a8e0c4a1b0
- Size of remote file:
- 15 kB
- SHA256:
- eb0dbb4e141a1b1675c843a5c544697d0294c95376e084c59262911e086b1bab
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