Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use BothBosu/bert-scam-classifier-v1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/bert-scam-classifier-v1.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BothBosu/bert-scam-classifier-v1.3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BothBosu/bert-scam-classifier-v1.3") model = AutoModelForSequenceClassification.from_pretrained("BothBosu/bert-scam-classifier-v1.3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f006678c7c19388ec900840d4162e32a0530bd3b0a2a6d201032601fa92f5676
- Size of remote file:
- 5.11 kB
- SHA256:
- 60a1035b31b45ea5c016ec37ad2c9e1369f34df53083db7f2b7d81c772ac4da4
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