Instructions to use FuluM21/AfriBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FuluM21/AfriBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FuluM21/AfriBert")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FuluM21/AfriBert") model = AutoModelForCausalLM.from_pretrained("FuluM21/AfriBert") - Notebooks
- Google Colab
- Kaggle
Upload 5 files
Browse files- SOF.ipynb +0 -0
- SOFAfterMAin.ipynb +0 -0
- SOFPre.ipynb +0 -0
- SOFTRraining2.ipynb +0 -0
- SOFTraining.ipynb +0 -0
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