Instructions to use h4d35/Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4d35/Translator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("h4d35/Translator") model = AutoModelForSeq2SeqLM.from_pretrained("h4d35/Translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b90f6eb03cdba7c20932608e97e183328dd94761eb031d7bb5c07c58fd4fd9a
- Size of remote file:
- 1.94 GB
- SHA256:
- 0bbdb3d37e8e0848c087922ff0ab1b67034117801ef6b117f4c23735347cd1db
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