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 training_args.bin from ShyamVarahagiri/MachineTranslation: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/ShyamVarahagiri/MachineTranslation/resolve/main/training_args.bin
- Command line
-
hf download hf://ShyamVarahagiri/MachineTranslation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShyamVarahagiri/MachineTranslation/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 76098e652ed02dfee653f1a00635fb2c3ba7d2e2018f7ec3dbebfe7c701b150a
- Size of remote file:
- 3.71 kB
- SHA256:
- 324ce6167d463a3cb8d5feef0a65cfb4036e40f59825591318611679900481f2
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