Transformers
PyTorch
TensorFlow
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use readerbench/RoGEC-flan-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/RoGEC-flan-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("readerbench/RoGEC-flan-t5-small") model = AutoModelForMultimodalLM.from_pretrained("readerbench/RoGEC-flan-t5-small") - Notebooks
- Google Colab
- Kaggle
RoGEC-flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.31.0
- TensorFlow 2.13.0
- Tokenizers 0.13.3
- Downloads last month
- 6
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Base model
google/flan-t5-small