Instructions to use Sugutt/finbert-expense-categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sugutt/finbert-expense-categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sugutt/finbert-expense-categorization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sugutt/finbert-expense-categorization") model = AutoModelForSequenceClassification.from_pretrained("Sugutt/finbert-expense-categorization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Sugutt/finbert-expense-categorization: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/Sugutt/finbert-expense-categorization/resolve/main/model.safetensors
- Command line
-
hf download hf://Sugutt/finbert-expense-categorization/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Sugutt/finbert-expense-categorization/resolve/main/model.safetensors
439 MB
- Xet hash:
- 99cea6ac9af6d733aeb253feec4484adaf4f7fdacf55b965dbd3ef092e64d66a
- Size of remote file:
- 439 MB
- SHA256:
- c403a3157e2981e441b0f059a08a3aea9ec0df462231d510d4bfc937568ffd34
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