Text Classification
Transformers
ONNX
Safetensors
English
distilbert
scam-detection
fraud-detection
spam-detection
india
text-embeddings-inference
Instructions to use anmolshrivastav/distilbert-scam-detector-india with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anmolshrivastav/distilbert-scam-detector-india with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anmolshrivastav/distilbert-scam-detector-india")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anmolshrivastav/distilbert-scam-detector-india") model = AutoModelForSequenceClassification.from_pretrained("anmolshrivastav/distilbert-scam-detector-india", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from anmolshrivastav/distilbert-scam-detector-india: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/anmolshrivastav/distilbert-scam-detector-india/resolve/main/tokenizer.json
- Command line
-
hf download hf://anmolshrivastav/distilbert-scam-detector-india/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anmolshrivastav/distilbert-scam-detector-india/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.