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:
# pip install -U transformers accelerate # 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
Commit History
-
Update README.md
f979a15
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (6ab13d9c6f62d3aab24eabaf280bc40b2fb2e9aa) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b81ec39
-
Update README.md
a760162 -
Update README.md
This model is trained on a Persian Legal dataset. The more it is trained the results will be better. Epochs= 1 Validation Loss = 1.75589 Time to train= 51 hours Trained on 2 x RTX 3090887f54a -
Update README.md
This model is trained on a Persian Legal dataset. The more it is trained the results will be better. Epochs= 1 Validation Loss = 1.75589 Time to train= 51 hours Trained on 2 x RTX 30907afdbb2 -
Upload 7 files
02b3ae2 -
initial commit
988a39b