Instructions to use Davlan/afro-xlmr-large-76L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large-76L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large-76L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large-76L") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large-76L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a46af951fa0480a446447431eb267d7bdab91791e6aaf3c31c664bf20e563df
- Size of remote file:
- 2.24 GB
- SHA256:
- 464f78f1cd575c868c6b0cf74a935527fccb10240d2366042c0444be9465ce0c
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