Instructions to use Davlan/afro-xlmr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-base") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a632948229c9a30936c48bb08516bd61e97975a3b9250f52365536a68674d617
- Size of remote file:
- 2.86 kB
- SHA256:
- 98ad82cbd8688e338c89a6149746eb3698ea82e0aa8616d324a46924b66aa871
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