Instructions to use aohk/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aohk/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "aohk/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aohk/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/aohk/results/resolve/main/training_args.bin
- Command line
-
hf download hf://aohk/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aohk/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- c4d52915346967b076ea27fc25b2e8b3c7f74705e2a3c71042bba313911da39f
- Size of remote file:
- 5.3 kB
- SHA256:
- 2b899868a6ce356cb29148fe37d89df4c429121f7c07d825bf4b3c969fe51a59
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