Instructions to use amidblue/AfrimBert-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amidblue/AfrimBert-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amidblue/AfrimBert-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amidblue/AfrimBert-QA") model = AutoModelForQuestionAnswering.from_pretrained("amidblue/AfrimBert-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edac6def822f56b8d9c6aaa4a0492f3a2e2daee0602ec64e0daac2cb7679373d
- Size of remote file:
- 5.2 kB
- SHA256:
- bc78fa823473e1f244b2782a1088e29fc62079d9453846a744259dd82124b4c2
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