Instructions to use CodeBlooded-capstone/fin-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeBlooded-capstone/fin-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeBlooded-capstone/fin-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeBlooded-capstone/fin-classifier") model = AutoModelForSequenceClassification.from_pretrained("CodeBlooded-capstone/fin-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e9ad7bd9cece05ad45c90eef4b29baf204e37ff3b51228999eca4d3f0d55a33
- Size of remote file:
- 268 MB
- SHA256:
- 90d4056d5ee7b365beb17e8f815a57d42e159f6cf31aa0a83456c033117273af
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