Instructions to use malper/taatiknet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malper/taatiknet with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("malper/taatiknet") model = AutoModelForSeq2SeqLM.from_pretrained("malper/taatiknet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e524a0949b38831c88eae1d7bc0ee4e91ce8812cb0af28502746f1979a1c6f2
- Size of remote file:
- 1.2 GB
- SHA256:
- 86763e5114b4da5b2aaf0b97dc4687e03f3784e6dc7971ef2b41e0ca576eaa00
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