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/optimizer.pt from cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7: direct link, hf CLI and curl.
- Browser
- Download file 243 MB
-
https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/2fa0e79387c8ac0e6324552e2a05383c19d8f2d2/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7@2fa0e79387c8ac0e6324552e2a05383c19d8f2d2/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/2fa0e79387c8ac0e6324552e2a05383c19d8f2d2/last-checkpoint/optimizer.pt
243 MB
- Xet hash:
- de49e3f7bfc9806d314a080edf466e7283d6452c948105b0d538dd83cd8a5add
- Size of remote file:
- 243 MB
- SHA256:
- 078f5ca7d1d4a5669f9116934d9fa62d6c457330d0a66b772666a065d10d3383
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