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
File size: 433 Bytes
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"additional_special_tokens": null,
"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"return_tensors": "pt",
"sp_model_kwargs": {},
"special_tokens_map_file": "/root/.cache/huggingface/hub/models--google--mt5-small/snapshots/38f23af8ec210eb6c376d40e9c56bd25a80f195d/special_tokens_map.json",
"tokenizer_class": "T5Tokenizer",
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}
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