Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation") model = AutoModelForSeq2SeqLM.from_pretrained("Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix placeholder title and dataset name in model card
#2
by BananaMindBot - opened
The model card contains the default placeholder title 'my_awesome_model' and references the 'None dataset'. I have updated the title to match the repository name and corrected the dataset reference to be generic since the specific dataset name was not provided in the metadata, while preserving all training metrics and hyperparameters.
Opened automatically by BananaMindBot. Close it if it is not useful - no hard feelings.