Instructions to use intanm/supervised-mbert-20230908 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intanm/supervised-mbert-20230908 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="intanm/supervised-mbert-20230908")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("intanm/supervised-mbert-20230908") model = AutoModelForQuestionAnswering.from_pretrained("intanm/supervised-mbert-20230908") - 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 sha256:1a463eafae18117041deb18f9508b73161b733f482711ba0c1271553bc19d75a
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size 709080904
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