Instructions to use Davlan/afro-xlmr-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-mini") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e282ffaece41e160c8e5a311307579f5c55bb1f78242674bc6e50a7d9e5b6b54
- Size of remote file:
- 2.93 kB
- SHA256:
- 817d3f43cceaa4127b02852903162844d11bfb39251f9ba763f6ec7ecae91079
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