How to use sbasu2512/financial_sentiment_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sbasu2512/financial_sentiment_model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sbasu2512/financial_sentiment_model") model = AutoModelForSequenceClassification.from_pretrained("sbasu2512/financial_sentiment_model", device_map="auto")
https://huggingface.co/sbasu2512/financial_sentiment_model/resolve/main/tokenizer.json
hf download hf://sbasu2512/financial_sentiment_model/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sbasu2512/financial_sentiment_model/resolve/main/tokenizer.json
