Instructions to use Davlan/afro-xlmr-large-76L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large-76L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large-76L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large-76L") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large-76L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 435d2e130097493d4a9060855696931a5b29a6d535127a07b2ec23c64b97ab97
- Size of remote file:
- 2.24 GB
- SHA256:
- 8a4eaa01b2bf98107b74e8500b05738049cd0e1e489fc14507850163f07dc2b7
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