Text Classification
Transformers
Safetensors
English
distilbert
finance
intent-detection
text-embeddings-inference
Instructions to use ihsankt/financial-intent-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihsankt/financial-intent-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ihsankt/financial-intent-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ihsankt/financial-intent-model") model = AutoModelForSequenceClassification.from_pretrained("ihsankt/financial-intent-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28c3ccda1b2440a5c82e78d4cf2eb0699c0a8fbcef05b8eba3357af7148195cf
- Size of remote file:
- 268 MB
- SHA256:
- 81b13c51b76fc824d134bc32038fef0574b46b38ac7d0ba403c95f456a721dab
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