Instructions to use Classical/Yinka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Classical/Yinka with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Classical/Yinka")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Classical/Yinka") model = AutoModel.from_pretrained("Classical/Yinka", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 309deb98fb6c790123b7694b3512e2ccf600a3aee932e240d9afccaf8b9deaa2
- Size of remote file:
- 655 MB
- SHA256:
- 80075250018c65eba25c69bcc56531bee813eeebf25b0e2aab55da72228d371a
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