Translation
Transformers
Safetensors
Bengali
English
t5
text2text-generation
text-generation-inference
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 285414837417356a66e8ccb18845f09bab6036a6c9399214f0bc3c944c533d8b
- Size of remote file:
- 1.11 MB
- SHA256:
- 7dcab96935a2a51b1461c84e44c952ea8a3640c8bc3e2c6ae7a21d855454ae27
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