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:
- a597cdacb106c4da9f3bbb34a1ac4441333727e0ce0ea48b391ae8b9ba09ad6d
- Size of remote file:
- 4.16 kB
- SHA256:
- db3f867659be9f26a574172e8b8f54b004c783deb2304ea37c5a1481e2473309
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