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:
- f3118d19517c2da952893a55f7e05b12bc2b093575171ccb097dd0a6a42ce47d
- Size of remote file:
- 1.2 GB
- SHA256:
- d9dd7d0486c09e67374f00b08bf493e8b4aba564401ccbf8b611349d8a47556b
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