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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e43a22f165178d5456ee6caf5f5f40b35085f3d8919c7069b26e2c1b056596d
- Size of remote file:
- 990 MB
- SHA256:
- 08d28d5b5c247de7bf63c74f6cc8bbbaa3324ff97d7d84ff8ba4823a741f196e
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