Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use BothBosu/bert-scam-classifier-v1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/bert-scam-classifier-v1.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BothBosu/bert-scam-classifier-v1.4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BothBosu/bert-scam-classifier-v1.4") model = AutoModelForSequenceClassification.from_pretrained("BothBosu/bert-scam-classifier-v1.4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e28d925f986287c38f7a7e826ab8265e44808c93358b86367e5523ab04ed6ab3
- Size of remote file:
- 438 MB
- SHA256:
- 383e3f37dbb498a06f1b7e0a851b269ff18e7de18f53b1618aff897c14e6502f
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