Instructions to use shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442/resolve/main/adapter_model.bin
- Command line
-
hf download hf://shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/shibajustfor/18f9cc30-6357-405d-8bc1-8c593eb44442/resolve/main/adapter_model.bin
28.4 MB
- Xet hash:
- 570f2263df1aea767e2dc481f65f1f012d6085563d25eb476c20ccf8fabfbbc0
- Size of remote file:
- 28.4 MB
- SHA256:
- f2843abb8291f7428020ccdba19d37f2aa7f4fccf0db15ca3fba15ca4459978d
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