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reyazul
/
BanglaSTEM-T5

Translation
Transformers
Safetensors
Bengali
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use reyazul/BanglaSTEM-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use reyazul/BanglaSTEM-T5 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="reyazul/BanglaSTEM-T5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("reyazul/BanglaSTEM-T5")
    model = AutoModelForSeq2SeqLM.from_pretrained("reyazul/BanglaSTEM-T5")
  • Notebooks
  • Google Colab
  • Kaggle
BanglaSTEM-T5
994 MB
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  • 2 contributors
History: 16 commits
reyazul's picture
reyazul
Update README.md
287124f verified 6 months ago
  • .gitattributes
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    initial commit 6 months ago
  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
    990 MB
    xet
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  • special_tokens_map.json
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  • spiece.model
    1.11 MB
    xet
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  • tokenizer.json
    2.74 MB
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  • tokenizer_config.json
    20.8 kB
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