Instructions to use stefaniftime/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stefaniftime/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "stefaniftime/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from stefaniftime/results: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/stefaniftime/results/resolve/main/training_args.bin
- Command line
-
hf download hf://stefaniftime/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/stefaniftime/results/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 3bb219704c8a608dc527186876f3c589b535fed95838347519460112c1140b49
- Size of remote file:
- 4.98 kB
- SHA256:
- 5388b26d4d58b8f611a6424764fedfd6acb042d52ed0c846cabd3df134dc4aff
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