Transformers
PyTorch
Safetensors
English
t5
text2text-generation
Generated from Trainer
relation-extraction
text-generation-inference
Instructions to use DReAMy-lib/t5-base-DreamBank-Generation-Act-Char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DReAMy-lib/t5-base-DreamBank-Generation-Act-Char with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Act-Char") model = AutoModelForSeq2SeqLM.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Act-Char") - Notebooks
- Google Colab
- Kaggle
Commit ·
c4828ca
1
Parent(s): 4cc3253
End of training
Browse files- tokenizer.json +1 -1
tokenizer.json
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"version": "1.0",
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"strategy": "LongestFirst",
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"version": "1.0",
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"max_length": 512,
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"strategy": "LongestFirst",
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