Instructions to use nu-delta/ml-lv-translate-t5-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nu-delta/ml-lv-translate-t5-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nu-delta/ml-lv-translate-t5-model") model = AutoModelForSeq2SeqLM.from_pretrained("nu-delta/ml-lv-translate-t5-model") - Notebooks
- Google Colab
- Kaggle
ml-lv-translate-t5-model
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 4.49.0
- TensorFlow 2.16.2
- Datasets 3.3.2
- Tokenizers 0.21.4
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