Instructions to use HuggingFaceTB/finemath-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/finemath-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/finemath-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/finemath-classifier") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/finemath-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 042a6a927eb3f941937823ecb578d762897011993d9948571d5e08dec203fd23
- Size of remote file:
- 5.3 kB
- SHA256:
- 3ce87380f1da8b14836c6c05d1736e7aed753fed6d93fdf122bcf0d6c2242717
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