Instructions to use SRDdev/QuAC-QA-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/QuAC-QA-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SRDdev/QuAC-QA-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SRDdev/QuAC-QA-BERT") model = AutoModelForQuestionAnswering.from_pretrained("SRDdev/QuAC-QA-BERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7ae89dd87528a6f3b0f472a644832e8f8ce3680c2759acf1c62bc8e2ab104ef
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size 430912392
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