Instructions to use dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82: direct link, hf CLI and curl.
- Browser
- Download file 403 MB
-
https://huggingface.co/dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dada22231/886fc06d-0cbf-4895-88c2-c3007506fd82/resolve/main/last-checkpoint/optimizer.pt
403 MB
- Xet hash:
- 87ffa9a2bb4de702290ad8864e1d7d2c8dc2e614ad45e56fbbb266afdd02f4f8
- Size of remote file:
- 403 MB
- SHA256:
- 2b523796db5ba137d923ef88dde1244703d670d9c1372f5b088053dcddfa9632
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