Instructions to use ugursa/Yahoo-Finance-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ugursa/Yahoo-Finance-Sentiment-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ugursa/Yahoo-Finance-Sentiment-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ugursa/Yahoo-Finance-Sentiment-Analysis") model = AutoModelForSequenceClassification.from_pretrained("ugursa/Yahoo-Finance-Sentiment-Analysis") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 11 months ago
by
SFconvertbot