Instructions to use aditnnda/machine_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aditnnda/machine_translation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aditnnda/machine_translation") model = AutoModelForSeq2SeqLM.from_pretrained("aditnnda/machine_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from aditnnda/machine_translation: direct link, hf CLI and curl.
- Browser
- Download file 801 kB
-
https://huggingface.co/aditnnda/machine_translation/resolve/main/source.spm
- Command line
-
hf download hf://aditnnda/machine_translation/source.spm
-
curl -L -o source.spm https://huggingface.co/aditnnda/machine_translation/resolve/main/source.spm
801 kB
- Xet hash:
- 788265d0dbaa7c8aab64d9bda81b8ec42adf871a92129fb267491b19dff31446
- Size of remote file:
- 801 kB
- SHA256:
- 2a8fefe71c7f26cb0c6aa1b9f0cc0f8d18006b20fe41c547af7f25b9c8333465
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