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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 536f24324105017dc2cb37e81b8a6c451c425a336b3c4a77b23f59a390c64586
- Size of remote file:
- 5.56 MB
- SHA256:
- ae4efcc1b959ac004a52702b9fdddc9bc51179553153dd67e41abcf4e156e704
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.