Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use kernelguardian/flant5action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kernelguardian/flant5action with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kernelguardian/flant5action") model = AutoModelForSeq2SeqLM.from_pretrained("kernelguardian/flant5action") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a8b6815fcccabea5748afae480a1d345c64cc18e60f9594f796b643b322c047
- Size of remote file:
- 990 MB
- SHA256:
- 76c507b9d48e68f286b13a3a66723e17ba46c3ebe75965ee12c774c46d367fd4
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