onnx-community/english-guyarati-ONNX
By onnx-community · ↓ 17 · ♥ 0 · Updated 2026-03-06
What's in this repo
This page lists the files in onnx-community/english-guyarati-ONNX, including decoder_model.onnx, decoder_model_bnb4.onnx, decoder_model_fp16.onnx and more.
- 32 ONNX models (.onnx files)
- 40 files, including 32 .onnx, 6 .json, 1 .md
- Last updated 2026-03-06
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/decoder_model.onnx | — | Download |
| onnx/decoder_model_bnb4.onnx | — | Download |
| onnx/decoder_model_fp16.onnx | — | Download |
| onnx/decoder_model_int8.onnx | — | Download |
| onnx/decoder_model_merged.onnx | — | Download |
| onnx/decoder_model_merged_bnb4.onnx | — | Download |
| onnx/decoder_model_merged_fp16.onnx | — | Download |
| onnx/decoder_model_merged_int8.onnx | — | Download |
| onnx/decoder_model_merged_q4.onnx | — | Download |
| onnx/decoder_model_merged_q4f16.onnx | — | Download |
Showing 10 of 32 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
english-guyarati (ONNX)
This is an ONNX version of SoyGema/english-guyarati. It was automatically converted and uploaded using this Hugging Face Space.
Usage with Transformers.js
See the pipeline documentation for translation: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TranslationPipeline
english-guyarati
This model is a fine-tuned version of t5-small on the opus100 en-gu dataset. It achieves the following results on the evaluation set:
- Loss: 0.3595
- Bleu: 48.3798
- Gen Len: 14.5
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
Model info
Created: 2026-03-06
Updated: 2026-03-06
View on Hugging Face