Instructions to use Davlan/afro-xlmr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 841978421c16bed0f096adb52be92efcf159f045f8b98a6fa0137b35c017cc99
- Size of remote file:
- 1.12 GB
- SHA256:
- 0ca8a6b4732b6ce48df223b48e22f4eda1c04f9bf6f8000fd2081f2242d3ef59
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