Instructions to use nihal-mp/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nihal-mp/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "nihal-mp/outputs") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nihal-mp/outputs: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/nihal-mp/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://nihal-mp/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nihal-mp/outputs/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- edec2a3a3e4895f4a14c8f5b01caadada14ca066240065c56c3a3ec480f17621
- Size of remote file:
- 4.86 kB
- SHA256:
- ca732ff29e2b82ba473ff3c1036118c509ff4b767a350d49c1ed3d83158ffebb
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