Instructions to use TaskeenJafri/ScamBuster-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TaskeenJafri/ScamBuster-Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TaskeenJafri/ScamBuster-Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TaskeenJafri/ScamBuster-Bert") model = AutoModelForSequenceClassification.from_pretrained("TaskeenJafri/ScamBuster-Bert", device_map="auto") - 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 sha256:068f08678dcce94e7075fa30d9a827b61466f9d6a98ff62a62ca89e6c732a6c2
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size 437958648
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