Instructions to use Sk4467/Bengali_translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sk4467/Bengali_translator 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="Sk4467/Bengali_translator")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sk4467/Bengali_translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Sk4467/Bengali_translator: direct link, hf CLI and curl.
- Browser
- Download file 2.47 GB
-
https://huggingface.co/Sk4467/Bengali_translator/resolve/11372d39e674be4536df57e91baba9ec9ad4e528/pytorch_model.bin
- Command line
-
hf download hf://Sk4467/Bengali_translator@11372d39e674be4536df57e91baba9ec9ad4e528/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sk4467/Bengali_translator/resolve/11372d39e674be4536df57e91baba9ec9ad4e528/pytorch_model.bin
2.47 GB
- Xet hash:
- f31ee4b0cbbdaaa19aadcb29c6d41f3f2ab44e9255964135b700a72df551598e
- Size of remote file:
- 2.47 GB
- SHA256:
- 1da692601b329c9076312e3b7ccc6a05d42a65fadee9e7fe141065399e9ebfcf
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