Instructions to use sinanazeri/peft-dialogue-summary-training-1716404262 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sinanazeri/peft-dialogue-summary-training-1716404262 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ibm-granite/granite-8b-code-instruct") model = PeftModel.from_pretrained(base_model, "sinanazeri/peft-dialogue-summary-training-1716404262") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sinanazeri/peft-dialogue-summary-training-1716404262: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/sinanazeri/peft-dialogue-summary-training-1716404262/resolve/main/training_args.bin
- Command line
-
hf download hf://sinanazeri/peft-dialogue-summary-training-1716404262/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sinanazeri/peft-dialogue-summary-training-1716404262/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 6261e9c879ab4a8c63f05805a065266a13ee7c84c8a89ece01884230716205ac
- Size of remote file:
- 5.05 kB
- SHA256:
- d71eb21a6919b210e71dcaea6c2ad6839a0e52e4c7d2f4e230d8bcd8f78ca034
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