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--- |
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license: apache-2.0 |
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language: |
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- bn |
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metrics: |
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- wer |
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- cer |
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tags: |
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- seq2seq |
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- ipa |
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- bengali |
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- byt5 |
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widget: |
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- text: <Narail> আমি সে বাবুর মামু বাড়ি গিছিলাম। |
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example_title: Narail Text |
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- text: <Rangpur> এখন এই কুলো তার শেষ অই কুলো তার শেষ। |
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example_title: Rangpur Text |
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- text: <Chittagong> খয়দে সিআরের এইল্লা কি অবস্থা! |
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example_title: Chittagong Text |
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- text: <Kishoreganj> আটাইশ করছিলাম দের কানি ক্ষেত, ইবার মাইর কাইছি। |
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example_title: Kishoreganj Text |
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- text: <Narsingdi> তারা তো ওই খারাপ খেইলাই আসে না। |
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example_title: Narsingdi Text |
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- text: <Tangail> আর সব থেকে ফানি কথা হইতেছে দেখ? |
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example_title: Tangail Text |
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--- |
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# Regional bengali text to IPA transcription - umt5-base |
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This is a fine-tuned version of the [google/umt5-base](https://huggingface.co/google/mt5-base) for the task of generating IPA transcriptions from regional bengali text. |
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This was done on the dataset of the competition [“ভাষামূল: মুখের ভাষার খোঁজে“](https://www.kaggle.com/competitions/regipa/overview) by Bengali.AI. |
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Scores achieved till now (test scores): |
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- **Word error rate (wer)**: 0.27792885899543700 |
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- **Char error rate (cer)**: 0.05638457089662550 |
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Supported district tokens: |
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- Kishoreganj |
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- Narail |
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- Narsingdi |
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- Chittagong |
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- Rangpur |
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- Tangail |
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--- |
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## Loading & using the model |
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```python |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("teamapocalypseml/ben2ipa-mt5base") |
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model = AutoModelForSeq2SeqLM.from_pretrained("teamapocalypseml/ben2ipa-mt5base") |
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""" |
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The format of the input text MUST BE: <district> <bengali_text> |
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""" |
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text = "<district> bengali_text_here" |
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text_ids = tokenizer(text, return_tensors='pt').input_ids |
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model(text_ids) |
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``` |
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## Using the pipeline |
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```python |
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# Use a pipeline as a high-level helper |
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from transformers import pipeline |
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device = "cuda" if torch.cuda.is_available() else "cpu" |
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pipe = pipeline("text2text-generation", model="teamapocalypseml/ben2ipa-mt5base", device=device) |
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""" |
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`texts` must be in the format of: <district> <contents> |
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""" |
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outputs = pipe(texts, max_length=512, batch_size=batch_size) |
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``` |
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## Credits |
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Done by [S M Jishanul Islam](https://huggingface.co/smji), [Sadia Ahmmed](https://huggingface.co/sadiaahmmed), [Sahid Hossain Mustakim](https://huggingface.co/rhsm15) |
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