Instructions to use Aminrhmni/PersianLegalQAsystem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aminrhmni/PersianLegalQAsystem with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aminrhmni/PersianLegalQAsystem") model = AutoModelForSeq2SeqLM.from_pretrained("Aminrhmni/PersianLegalQAsystem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Aminrhmni/PersianLegalQAsystem: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/Aminrhmni/PersianLegalQAsystem/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Aminrhmni/PersianLegalQAsystem/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Aminrhmni/PersianLegalQAsystem/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 1257fe13ec8685d2fb034e6380be0b6c4f4fb12698d49690850664a95e3bd3b6
- Size of remote file:
- 2.33 GB
- SHA256:
- 3f4cacae6bac6e4a25d46b32d49faf52935b19e23ba1b48063e5df174ae18600
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