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:
- 625e25cdbc86ce456207a8bed7d48374cd278b67c98b9a39983cab131f8a9cfd
- Size of remote file:
- 499 MB
- SHA256:
- 622fa11c6a83c09d89e149dfd730e12916c42b6b6a704417165326320f900e75
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