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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a0fa5fa9987492d2a3ea79517b39a0e4ea6eebb7e53f1feebd5c25e3937c307
- Size of remote file:
- 439 MB
- SHA256:
- adf6ba197a8da8f0fc9e14c6cece3d726956f17d45765c6f727624c4219fff45
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