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/0a106b00382be487a1538b3abae049ecdb547bcf/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7@0a106b00382be487a1538b3abae049ecdb547bcf/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/0a106b00382be487a1538b3abae049ecdb547bcf/last-checkpoint/optimizer.pt
243 MB
- Xet hash:
- 95d90b516a850fb69109ff61fea7efd8744a6534ac1c23f7af89ef61c1733b91
- Size of remote file:
- 243 MB
- SHA256:
- 7d9662aa798906ca3b116bf30277f37d0b10a4958f94cf4bb73f7a8f3a11b845
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