Instructions to use SebastianKotstein/restberta-qa-parameter-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebastianKotstein/restberta-qa-parameter-matching with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="SebastianKotstein/restberta-qa-parameter-matching")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SebastianKotstein/restberta-qa-parameter-matching") model = AutoModelForQuestionAnswering.from_pretrained("SebastianKotstein/restberta-qa-parameter-matching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-4.0
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- text: "The token for accessing this Web API"
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context: "auth.key location.city location.city_id location.country location.lat location.lon location.postal_code state units"
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example_title: "Weather API"
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