Instructions to use abdiharyadi/opus-mt-ft-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdiharyadi/opus-mt-ft-3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abdiharyadi/opus-mt-ft-3") model = AutoModelForSeq2SeqLM.from_pretrained("abdiharyadi/opus-mt-ft-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe1bf15bd691a11d1d9f5491ee085f4e709d34c18e0d217df0e6972f00fd1293
- Size of remote file:
- 5.11 kB
- SHA256:
- d2fca371ce4017df1d84c9934efd8e1585876a3722f62adf647069532c4f911a
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