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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 432a7239ecd9ee3c8be26bd120f02f89d15b475b34ed51c380420d4348b02de5
- Size of remote file:
- 1.12 GB
- SHA256:
- e2ba091213740bd000d3156cebe36df7cc23330d90f8a6b0e68504a95e566af5
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