Instructions to use Davlan/afro-xlmr-large-76L_script with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large-76L_script with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large-76L_script")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large-76L_script") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large-76L_script", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4dbe474741c6d277f666ee3f94efcd90bf02623d8f6f871b7a434b18f04fb67
- Size of remote file:
- 2.34 GB
- SHA256:
- 16ad536395f29b8dedab48b667487cdde22a9fc0e2733d0bb3c671bc55a2e516
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