Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use devagonal/t5-flan-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/t5-flan-semantic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/t5-flan-semantic") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/t5-flan-semantic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae5825c27b2a3e8d64c84e85ec6126a7ff76ac3871c9815327a0e8333a55489a
- Size of remote file:
- 5.11 kB
- SHA256:
- 2515614738e407d56a9fa085dcfb69288c35c948198207bda024f162e2f08adb
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