Instructions to use soorya12/t5-small-finetuned-on-cloudsek_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soorya12/t5-small-finetuned-on-cloudsek_data with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("soorya12/t5-small-finetuned-on-cloudsek_data") model = AutoModelForSeq2SeqLM.from_pretrained("soorya12/t5-small-finetuned-on-cloudsek_data") - Notebooks
- Google Colab
- Kaggle
t5-small-finetuned-on-cloudsek_data
This model was trained from scratch 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 4.25.1
- TensorFlow 2.9.2
- Datasets 2.7.1
- Tokenizers 0.13.2
- Downloads last month
- 7
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