Instructions to use sabrinah/BERT-PoA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabrinah/BERT-PoA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sabrinah/BERT-PoA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sabrinah/BERT-PoA") model = AutoModelForQuestionAnswering.from_pretrained("sabrinah/BERT-PoA") - 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 sha256:0acc36a00a6ce492f797c9c0679cf45a195a8bbde10c3848209a0dc17a9bcd42
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size 265470032
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