Instructions to use hammadali1805/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hammadali1805/model with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-small") model = PeftModel.from_pretrained(base_model, "hammadali1805/model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hammadali1805/model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/hammadali1805/model/resolve/main/training_args.bin
- Command line
-
hf download hf://hammadali1805/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hammadali1805/model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 6fe13e724033fc18911da72b38d95b723067a11d65f978f0846ecc4ded00c5a8
- Size of remote file:
- 5.11 kB
- SHA256:
- 17bbc459c436a8d644c702362051fc36212a72a285fb9ad9de094eb226127ebd
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