Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/t5-small-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/t5-small-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/t5-small-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/t5-small-coqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 270 Bytes
80ce11b | 1 2 3 4 5 6 7 8 9 | {
"predict_accuracy": 0.07766503820618816,
"predict_f1": 0.050057538932255674,
"predict_loss": 1.0055056810379028,
"predict_runtime": 124.2225,
"predict_samples": 7983,
"predict_samples_per_second": 64.264,
"predict_steps_per_second": 2.013
} |