Instructions to use Davlan/afro-xlmr-large-75L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large-75L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large-75L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large-75L") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large-75L") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ed1985b25d5374c26dd6b81c6f4ec1879a0ea3ebf08fb180d6865ea74ef9558
- Size of remote file:
- 5.56 kB
- SHA256:
- 3f74619408913b68950ccea8d7c1522769d6133dcde2c89ad160c2f74a8be92c
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