Instructions to use johnowhitaker/mcqgen_test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use johnowhitaker/mcqgen_test1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "johnowhitaker/mcqgen_test1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from johnowhitaker/mcqgen_test1: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/johnowhitaker/mcqgen_test1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://johnowhitaker/mcqgen_test1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/johnowhitaker/mcqgen_test1/resolve/main/adapter_model.bin
134 MB
- Xet hash:
- 7ca136fb55818585a66a131e887dafde203ada13e171cc55706f5e7f4a04bff9
- Size of remote file:
- 134 MB
- SHA256:
- ec3b194af43cdafe9347aa3bd261045f5f1430a22dd522e95a74c28ff2aac984
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