Instructions to use weakit-v/tinyroberta-squad2-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weakit-v/tinyroberta-squad2-onnx 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="weakit-v/tinyroberta-squad2-onnx")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("weakit-v/tinyroberta-squad2-onnx") model = AutoModelForQuestionAnswering.from_pretrained("weakit-v/tinyroberta-squad2-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from weakit-v/tinyroberta-squad2-onnx: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/weakit-v/tinyroberta-squad2-onnx/resolve/main/tokenizer.json
- Command line
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hf download hf://weakit-v/tinyroberta-squad2-onnx/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/weakit-v/tinyroberta-squad2-onnx/resolve/main/tokenizer.json
2.11 MB
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