Instructions to use abdalrahmanshahrour/questionanswering-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdalrahmanshahrour/questionanswering-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="abdalrahmanshahrour/questionanswering-v4")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("abdalrahmanshahrour/questionanswering-v4") model = AutoModelForQuestionAnswering.from_pretrained("abdalrahmanshahrour/questionanswering-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b800fa32be35a40e2c66f31c37722d04218aaee78e3e811de04084155f2e101
- Size of remote file:
- 265 MB
- SHA256:
- 63acfa519d0fd4dba49235566b660badf2ef73cc35daf761383ba6ba109ff595
路
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