Instructions to use cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/2fa0e79387c8ac0e6324552e2a05383c19d8f2d2/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7@2fa0e79387c8ac0e6324552e2a05383c19d8f2d2/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/2fa0e79387c8ac0e6324552e2a05383c19d8f2d2/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- e5db0ffc150a39dfed2157ca8cb2f6d2f6e59e97d139a28db25edb1e86c3b03d
- Size of remote file:
- 14.2 kB
- SHA256:
- 52da8ee62a2b0e2426b4e4f2db74c9c7f339b78a1b3cd7915213e29415552176
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