Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use BothBosu/bert-scam-classifier-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/bert-scam-classifier-v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BothBosu/bert-scam-classifier-v1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BothBosu/bert-scam-classifier-v1.1") model = AutoModelForSequenceClassification.from_pretrained("BothBosu/bert-scam-classifier-v1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08c931e463f0ad496d47dd920f8f333a40ee024715b7b371692d1a395e6851a9
- Size of remote file:
- 4.98 kB
- SHA256:
- d84cbbec3d4720dd4fd326826f0a2e694372da609a531410f027214b8c1746d5
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