Instructions to use nlp-magnets/bert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-magnets/bert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nlp-magnets/bert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlp-magnets/bert-qa") model = AutoModelForQuestionAnswering.from_pretrained("nlp-magnets/bert-qa", device_map="auto") - 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 sha256:3292e346c4dcbd9eefc778d43f94f407e9c9a623abe7587f0c706d8fc7f49a9a
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size 435600272
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