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:
- 973c01d8b1b980d4dae2499bd34c9f237459b2a1f2494c59eee7c2f3be316285
- Size of remote file:
- 4.16 kB
- SHA256:
- e249c7b1c095931ea71ec017d85effb9172aac0af309d7ffd6f9a9c6e729ce09
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