Instructions to use ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb: direct link, hf CLI and curl.
- Browser
- Download file 27.2 MB
-
https://huggingface.co/ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb/resolve/main/adapter_model.bin
27.2 MB
- Xet hash:
- 6919217b74b5e1c963bedd7a3edba1af0fbfc88ed3a767a87de0bb1c053f04f3
- Size of remote file:
- 27.2 MB
- SHA256:
- 9940a1aba8c674243c335ba2752aca0e2b9fe3b6f01401c0ec81cb1bf5d0475d
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