Instructions to use damilojohn/AfroLid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damilojohn/AfroLid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="damilojohn/AfroLid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("damilojohn/AfroLid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 832f6097e334b30ad7366217fa9b284f71d566d61e0ea00ef0c9ef319a1810ce
- Size of remote file:
- 1.33 GB
- SHA256:
- 8e4ca01862bd5c15a92c9b4978f82df78b2c4342f14c1218e21674c2bdcf4483
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