Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use karakaka/statement-pydec-statement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karakaka/statement-pydec-statement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("karakaka/statement-pydec-statement") model = AutoModelForSeq2SeqLM.from_pretrained("karakaka/statement-pydec-statement") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0af7d2adc4db5621d39e730ca799c5f3a31df75a1acea87ab769b488e1282168
- Size of remote file:
- 5.91 kB
- SHA256:
- b62f2cf6eb1601840195fb1f9b08f84956b0c419c49290cced5517570dc69e48
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