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:
- ee2c7339fba7de48ae9ae3225801af1d51877b48b3ade0f40ce42304d27c978f
- Size of remote file:
- 472 MB
- SHA256:
- ef255b5b0450a57743398008fdece5b5d7171efdb893e9f64afec181c1ef773e
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