Instructions to use innocent-charles/Swahili-question-answer-latest-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use innocent-charles/Swahili-question-answer-latest-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="innocent-charles/Swahili-question-answer-latest-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("innocent-charles/Swahili-question-answer-latest-cased") model = AutoModelForQuestionAnswering.from_pretrained("innocent-charles/Swahili-question-answer-latest-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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autoevaluator HF Staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#1)
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