Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Smaraa/bart-text-simplification_1e4_adafactor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Smaraa/bart-text-simplification_1e4_adafactor with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor") model = AutoModelForSeq2SeqLM.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ea7b9ba75a6c0ac18271763a944b091304a62f86a818de0e32462420902c648
- Size of remote file:
- 892 MB
- SHA256:
- fcf12e397aa493579792e950bb3c2af479272a8822d66a68e09924a7073bb92d
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