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:
- 70231df2e1f8a4d262dc51c88ea450f821d50fe3aeeed5b7e19f6983e6724d26
- Size of remote file:
- 3.57 kB
- SHA256:
- ebbcc24dc68062dddf494da439a2a06489351a4ad281ba6a1c32381a5cfec51b
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