Instructions to use OpenVINO/bert-base-uncased-sst2-unstructured80-int8-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenVINO/bert-base-uncased-sst2-unstructured80-int8-ov with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, NNCFNetwork tokenizer = AutoTokenizer.from_pretrained("OpenVINO/bert-base-uncased-sst2-unstructured80-int8-ov") model = NNCFNetwork.from_pretrained("OpenVINO/bert-base-uncased-sst2-unstructured80-int8-ov", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:448b5f57a7cec7e96763b9d32e8493f3ed785d11d88907f20de49e7a94844fc4
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size 778199880
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