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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a66e0b7eeb36ea518a0fd3822100a3295bc9b783edf12c7112a62e0346ca486d
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size 651089456
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