Instructions to use braedennorris/consumer_enterprise_fintech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use braedennorris/consumer_enterprise_fintech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="braedennorris/consumer_enterprise_fintech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("braedennorris/consumer_enterprise_fintech") model = AutoModelForSequenceClassification.from_pretrained("braedennorris/consumer_enterprise_fintech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
For anyone looking at consumer v enterprise fintech rankings I'd refer to this model: braedennorris/autotrain-enterprise_v_consumer-3052187265. It was trained on dberta2 and has higher accuracy than this model.
- Downloads last month
- 5