Instructions to use Anshrajsingh/customer_support_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anshrajsingh/customer_support_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anshrajsingh/customer_support_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anshrajsingh/customer_support_model") model = AutoModelForSequenceClassification.from_pretrained("Anshrajsingh/customer_support_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45fb56119e0db95b4dc1e3144c54618e0a0a144c56a830e9773ea1fb0f4bcd54
- Size of remote file:
- 5.14 kB
- SHA256:
- c04dda38be1f685bca91a904428de417b4535c8fe4f7cbd37f810622bf308a15
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