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:
- 63b4eb083640c90ffb33d910c6724ee0140ec65098bbd7e807e6c6caacffee26
- Size of remote file:
- 438 MB
- SHA256:
- cbc4e4cdffbc6ec4a1a72afc1ae4fd55a579efab1ea55f94d3527ecedc57f101
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