How to use prodm93/twitter-text-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prodm93/twitter-text-sentiment-classifier")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prodm93/twitter-text-sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("prodm93/twitter-text-sentiment-classifier", device_map="auto")
https://huggingface.co/prodm93/twitter-text-sentiment-classifier/resolve/main/tokenizer.json
hf download hf://prodm93/twitter-text-sentiment-classifier/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/prodm93/twitter-text-sentiment-classifier/resolve/main/tokenizer.json
