Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/byt5-small-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/byt5-small-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/byt5-small-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/byt5-small-coqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 254 Bytes
65a2c55 | 1 2 3 4 5 6 7 8 9 | {
"predict_accuracy": 0.1288989101841413,
"predict_f1": 0.029435636613289257,
"predict_loss": NaN,
"predict_runtime": 1537.7213,
"predict_samples": 7983,
"predict_samples_per_second": 5.191,
"predict_steps_per_second": 0.163
} |