Instructions to use fernandals/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fernandals/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "fernandals/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fernandals/results: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/fernandals/results/resolve/main/training_args.bin
- Command line
-
hf download hf://fernandals/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fernandals/results/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- f6f7a026ec272a8b02adad859daf392a8288ccd3cb7028aec4cbed88c0ddad2d
- Size of remote file:
- 4.73 kB
- SHA256:
- 9a2e468e01326146efec19475305d6455a46aa47a0db955057ae929a355c378a
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