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
Download tokenizer.json from Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation: direct link, hf CLI and curl.
- Browser
- Download file 8.4 MB
-
https://huggingface.co/Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation/resolve/main/tokenizer.json
- Command line
-
hf download hf://Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Selimx2001x/AraT5-Arabic-To-Sign-Language-Translation/resolve/main/tokenizer.json
8.4 MB
File too large to display, you can check the raw version instead.