Transformers
PyTorch
Safetensors
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use DReAMy-lib/t5-base-DreamBank-Generation-NER-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-NER-Char with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-NER-Char") model = AutoModelForSeq2SeqLM.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-NER-Char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b956ee72d32cc55a8db27012407263fcdadea10ce769f73d49cb11df7928e598
- Size of remote file:
- 892 MB
- SHA256:
- 55fab6d5149c341e8118eaa2c803f5ad5e1b5208416da76667f8db603d9d3d8b
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