Instructions to use rsml/bbert_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rsml/bbert_qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rsml/bbert_qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rsml/bbert_qa") model = AutoModelForQuestionAnswering.from_pretrained("rsml/bbert_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 sha256:8d3baab076f5b73a455093a81d857fd746ea142dc4fd358b6691d4417a4fbb1d
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size 265470032
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