Translation
Transformers
PyTorch
Safetensors
Bengali
English
marian
text2text-generation
Eval Results (legacy)
Instructions to use shhossain/opus-mt-en-to-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shhossain/opus-mt-en-to-bn with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="shhossain/opus-mt-en-to-bn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shhossain/opus-mt-en-to-bn") model = AutoModelForSeq2SeqLM.from_pretrained("shhossain/opus-mt-en-to-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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metrics:
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model-index:
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- name: opus-mt-en-
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results:
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- Bleu: 21.613
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- Gen Len: 21.9459
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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| 1.9652 | 1.0 | 171895 | 1.8782 | 21.613 | 21.9459 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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license: apache-2.0
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datasets:
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- opus100
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language:
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- bn
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- en
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metrics:
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- sacrebleu
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pipeline_tag: translation
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widget:
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- text: "Will you come home tonight?"
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example_title: "Example 1"
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- text: "I am so sorry this is a day late, guys. Unfortunately, my internet was down so it was out of my control."
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example_title: "Example 2"
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model-index:
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- name: shhossain/opus-mt-en-to-bn
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results:
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- task:
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type: translation
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name: Translation
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dataset:
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type: opus100
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name: opus100
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split: validation
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metrics:
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- type: Bleu
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value: 12.537400
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- type: Validation Loss
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value: 2.120669
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- type: Training Loss
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value: 1.771200
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# English-Bengali Translation Model
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This model is finetuned on `Helsinki-NLP/opus-mt-en-inc` for English to Bangla Translation.
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- **Developed by:** [shhossain](https://github.com/shhossain)
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- **Model type:** [transformer-align]
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- **Language(s) (NLP):** [English, Bengali]
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- **License:** [apache-2.0]
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- **Finetuned from model [Helsinki-NLP/opus-mt-en-inc]:** [Helsinki-NLP/opus-mt-en-inc](Helsinki-NLP/opus-mt-en-inc)
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## Use with transformers
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```python
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from transformers import pipeline
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pipe = pipeline("translation", model="shhossain/opus-mt-en-to-bn")
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```
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## Use with BanglaTranslationKit
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BanglaTranslationKit is an open-source translation package for offline conversion between both Bengali and English languages (English to Bangla and Bangla to English)
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### Installation
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```bash
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pip install bntrans
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```
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### Usage
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You can use this package to translate any Bangla to English or English to Bangla.
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```python
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from bntrans import Translator
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translator = Translator(src="en", dest="bn")
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translation = translator.translate("Hello world!") # ্যালো বিশ্ব!
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print(translation)
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```
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More info on [BanglaTranslationKit](https://github.com/shhossain/BanglaTranslationKit)
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