Instructions to use HausaNLP/AfriSenti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HausaNLP/AfriSenti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HausaNLP/AfriSenti")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HausaNLP/AfriSenti") model = AutoModel.from_pretrained("HausaNLP/AfriSenti") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:a64654d58a635ddf9baff69d6f36d6087e5bb0e0a488a62f83e5e2cacf7a28af
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size 2239607176
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