Instructions to use 0x7o/roberta-base-ad-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/roberta-base-ad-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="0x7o/roberta-base-ad-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("0x7o/roberta-base-ad-detector") model = AutoModelForSequenceClassification.from_pretrained("0x7o/roberta-base-ad-detector") - 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 sha256:25faba4a17eb8623546ebae9319d0aad5c24d9ab43de5a16fcb5c592a416087c
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size 498617024
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