Transformers
PyTorch
Safetensors
English
t5
text2text-generation
sentence correction
text-generation-inference
Instructions to use KES/T5-KES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KES/T5-KES with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KES/T5-KES") model = AutoModelForSeq2SeqLM.from_pretrained("KES/T5-KES") - Notebooks
- Google Colab
- Kaggle
Updated config.json
Browse files- config.json +1 -1
config.json
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 32128
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}
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.17.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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