How to use vishalk4u/fakenews_binaryclassifier_distilbert_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishalk4u/fakenews_binaryclassifier_distilbert_cased")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishalk4u/fakenews_binaryclassifier_distilbert_cased") model = AutoModelForSequenceClassification.from_pretrained("vishalk4u/fakenews_binaryclassifier_distilbert_cased", device_map="auto")
https://huggingface.co/vishalk4u/fakenews_binaryclassifier_distilbert_cased/resolve/main/tokenizer.json
hf download hf://vishalk4u/fakenews_binaryclassifier_distilbert_cased/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/vishalk4u/fakenews_binaryclassifier_distilbert_cased/resolve/main/tokenizer.json
