How to use rmahade2/fin_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rmahade2/fin_sentiment")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rmahade2/fin_sentiment") model = AutoModelForSequenceClassification.from_pretrained("rmahade2/fin_sentiment", device_map="auto")
https://huggingface.co/rmahade2/fin_sentiment/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://rmahade2/fin_sentiment@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/rmahade2/fin_sentiment/resolve/refs%2Fpr%2F2/tokenizer.json
