Instructions to use DunnBC22/fnet-base-Financial_Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/fnet-base-Financial_Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/fnet-base-Financial_Sentiment_Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/fnet-base-Financial_Sentiment_Analysis") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/fnet-base-Financial_Sentiment_Analysis") - Notebooks
- Google Colab
- Kaggle