Instructions to use AshtonIsNotHere/bert-feqa-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AshtonIsNotHere/bert-feqa-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AshtonIsNotHere/bert-feqa-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AshtonIsNotHere/bert-feqa-qa") model = AutoModelForQuestionAnswering.from_pretrained("AshtonIsNotHere/bert-feqa-qa") - 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:c141e7a0412a7f5918421be227b7ea0d47a90ea3a9f96fab4f5d86e753bc8813
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size 1336424168
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