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 training_args.bin from Sk4467/Bengali_translator: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Sk4467/Bengali_translator/resolve/main/training_args.bin
- Command line
-
hf download hf://Sk4467/Bengali_translator/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sk4467/Bengali_translator/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 62dcf9a42f29b94554e46c610ee93f8e4adeb7e4ffc5ce06784c7c307d7273f9
- Size of remote file:
- 4.09 kB
- SHA256:
- 98f57576f47537e430870ce7a92ad65a22fd334236e013028bf2c100d4a63095
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