Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use summervent/russian-spellchecking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summervent/russian-spellchecking with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("summervent/russian-spellchecking") model = AutoModelForSeq2SeqLM.from_pretrained("summervent/russian-spellchecking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from summervent/russian-spellchecking: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/summervent/russian-spellchecking/resolve/main/README.md
- Command line
-
hf download hf://summervent/russian-spellchecking/README.md
-
curl -L -o README.md https://huggingface.co/summervent/russian-spellchecking/resolve/main/README.md
1.05 kB
metadata
tags:
- generated_from_trainer
model-index:
- name: russian-spellchecking
results: []
russian-spellchecking
This model is a fine-tuned version of UrukHan/t5-russian-spell on an unknown 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2