Instructions to use textsightai/textsight-humanizer-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textsightai/textsight-humanizer-t5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("textsightai/textsight-humanizer-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("textsightai/textsight-humanizer-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Restore tokenizer.json from google-t5/t5-large for fast tokenizer support
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Remove fast tokenizer to fix extra_special_tokens compatibility issue
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Update to v4: trained on 6.2K samples, composite 0.6047, 8/10 Human-Written verdicts
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Upload tokenizer
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Training in progress, step 400
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Training in progress, step 500
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