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:
- 38aec1034d182af7c3031b0c4c688ef5c592dcd058c75af8e81562784c964eea
- Size of remote file:
- 4.09 kB
- SHA256:
- 80379659fa2a444b0146368cbedeb2127a444464453e23c94bfa2ef88b1d7337
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