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