Instructions to use cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20/resolve/38eae47d1d61eccd03a2e2bcbf90856ddeb7a139/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20@38eae47d1d61eccd03a2e2bcbf90856ddeb7a139/last-checkpoint/rng_state.pth
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curl -L -o rng_state.pth https://huggingface.co/cimol/0ea943d2-149b-4d41-904a-afbf75ce1a20/resolve/38eae47d1d61eccd03a2e2bcbf90856ddeb7a139/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 3939178ea8b047265c62964597d57b7070963982c293aed3068a18b8c03ab424
- Size of remote file:
- 14.2 kB
- SHA256:
- 93e088181ed40a6a7d28371a96c2f57e18f05fdb2765b2f5c3003fbd9e558a03
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