Transformers
PyTorch
English
Kamwe
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use findnitai/t5-hinglish-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use findnitai/t5-hinglish-translator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("findnitai/t5-hinglish-translator") model = AutoModelForSeq2SeqLM.from_pretrained("findnitai/t5-hinglish-translator") - Notebooks
- Google Colab
- Kaggle
t5-hinglish-translator
This model is a fine-tuned version of t5-small on the findnitai/english-to-hinglish dataset. Sample use:
- "Translate English to Hinglish : How is the weather?"
- "Translate English to Hinglish : Turn the alarm off"
- "Translate English to Hinglish : Set a timer for 5 minutes"
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
- Loss : 2.71
- Downloads last month
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