Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Safetensors
Arabic
t5
text2text-generation
text-generation-inference
Instructions to use flax-community/arabic-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/arabic-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/arabic-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/arabic-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90e2d875895a319a6edf464c67a1c15eb4d97275174c36fa3c90fd50efc1e348
- Size of remote file:
- 439 MB
- SHA256:
- fffbc4f3d500953f5bae81a0a6ea16bebc0da61f2a758efd1f7bf344c07ad7da
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