Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use abletobetable/rut5-base-absum-tech-support-calls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/rut5-base-absum-tech-support-calls with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abletobetable/rut5-base-absum-tech-support-calls") model = AutoModelForSeq2SeqLM.from_pretrained("abletobetable/rut5-base-absum-tech-support-calls") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6d03b77ef1398fe63e080301ae4790bad16bc5b55a2004f41cb914a995c1cdf
- Size of remote file:
- 977 MB
- SHA256:
- c05fd1a49472594926101c92d9bcc73ae7e57a4200e2e029e7eaf73d6b95cee1
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