Instructions to use ShyamVarahagiri/MachineTranslation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShyamVarahagiri/MachineTranslation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShyamVarahagiri/MachineTranslation") model = AutoModelForSeq2SeqLM.from_pretrained("ShyamVarahagiri/MachineTranslation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShyamVarahagiri/MachineTranslation: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/ShyamVarahagiri/MachineTranslation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShyamVarahagiri/MachineTranslation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShyamVarahagiri/MachineTranslation/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- fec5e3c8a9487b55ed8b2701675dc98567028d1413afbeefbe41af84017992ef
- Size of remote file:
- 1.2 GB
- SHA256:
- f41e063ab1780504e93fccf61cf05e04a14adc995b9dcabad65edfc6522a3361
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