Instructions to use Davlan/naija-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/naija-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/naija-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/naija-bert-base") model = AutoModelForMaskedLM.from_pretrained("Davlan/naija-bert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d356eea6ace5d573436d7de593842686b712a787aa44a6052da037a91ee38e9c
- Size of remote file:
- 562 MB
- SHA256:
- e43b934a3cb6666363fb23e63a0d1954dcc06c3cc4e922b5b0088b0a2854b4fb
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