Instructions to use isanthosh2004/spell_phonetic_correction_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isanthosh2004/spell_phonetic_correction_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("isanthosh2004/spell_phonetic_correction_model") model = AutoModelForSeq2SeqLM.from_pretrained("isanthosh2004/spell_phonetic_correction_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
spell_phonetic_correction_model
This model is a fine-tuned version of facebook/bart-base on the None dataset.
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:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Downloads last month
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Model tree for isanthosh2004/spell_phonetic_correction_model
Base model
facebook/bart-base