Instructions to use anujsahani01/bidirectional_translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anujsahani01/bidirectional_translator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anujsahani01/bidirectional_translator") model = AutoModelForSeq2SeqLM.from_pretrained("anujsahani01/bidirectional_translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5b9c660d4107b10cf4137304563423f744fe9f9d185f338a94819dc6c5652ec
- Size of remote file:
- 17.1 MB
- SHA256:
- 725d80b60a4771009759f0eb9c75a4bd514811305e3a56ead3538d7543a46f04
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