Instructions to use bondarchukb/bert-ads-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bondarchukb/bert-ads-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bondarchukb/bert-ads-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bondarchukb/bert-ads-classification") model = AutoModelForSequenceClassification.from_pretrained("bondarchukb/bert-ads-classification") - 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 sha256:5b2176be1bc0b1bd34f8e97dd3bda2815b1d5d92d2e546d56a9c13b7c3296ae9
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size 433274952
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