Instructions to use mrm8488/AfricanBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/AfricanBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/AfricanBERTa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/AfricanBERTa") model = AutoModelForMaskedLM.from_pretrained("mrm8488/AfricanBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:750aaa06bc8b706bfd6f7375c0a52d7bf7edb5e703e3c936a363963f513708a7
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size 1051
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