Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BothBosu/roberta-scam-classifier-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/roberta-scam-classifier-v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BothBosu/roberta-scam-classifier-v1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BothBosu/roberta-scam-classifier-v1.0") model = AutoModelForSequenceClassification.from_pretrained("BothBosu/roberta-scam-classifier-v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c144f1ea62f7bf08c4a297934dbfeba3091241092aff64a3ab3a9d32dde1e1b4
- Size of remote file:
- 5.11 kB
- SHA256:
- 89680157b1547c07350d9d9ea6bfd54aff90c7634dc0c2346e6b4221f516a9d6
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