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