Question Answering
Transformers
PyTorch
TensorFlow
ONNX
English
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use squirro/distilroberta-base-squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use squirro/distilroberta-base-squad_v2 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="squirro/distilroberta-base-squad_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("squirro/distilroberta-base-squad_v2") model = AutoModelForQuestionAnswering.from_pretrained("squirro/distilroberta-base-squad_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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updated about and added podcast urls
5800a52
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Add about us section
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Updated code example.
25fc4e0 -
Fixed missing import in code example.
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Added yaml metrics
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Added yaml metrics
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Added yaml traning meta data
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Initial import
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initial commit
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