How to use Nitya2102/distilbert-scam-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nitya2102/distilbert-scam-model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nitya2102/distilbert-scam-model") model = AutoModelForSequenceClassification.from_pretrained("Nitya2102/distilbert-scam-model", device_map="auto")
https://huggingface.co/Nitya2102/distilbert-scam-model/resolve/main/tokenizer.json
hf download hf://Nitya2102/distilbert-scam-model/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Nitya2102/distilbert-scam-model/resolve/main/tokenizer.json
