Feature Extraction
PEFT
Safetensors
a1
abstract-code-relevance-pairs
repository-library
research-library
t2_abstract
Instructions to use PeytonT/abstract-code-relevance-pairs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PeytonT/abstract-code-relevance-pairs with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "PeytonT/abstract-code-relevance-pairs") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PeytonT/abstract-code-relevance-pairs: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/PeytonT/abstract-code-relevance-pairs/resolve/main/training_args.bin
- Command line
-
hf download hf://PeytonT/abstract-code-relevance-pairs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PeytonT/abstract-code-relevance-pairs/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- ec53f1414f590ac4fe191792de710177048c8d3546bd216c3f2edc154c5390bb
- Size of remote file:
- 5.84 kB
- SHA256:
- c9600d9d7f9bd4d2172164d74ccd03c209aa100c9eccf12933b9b9fabe78b725
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