Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use HamadML/grammer_correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamadML/grammer_correction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HamadML/grammer_correction") model = AutoModelForSeq2SeqLM.from_pretrained("HamadML/grammer_correction") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- generation_config.json +6 -0
generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.30.2"
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}
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