Instructions to use vineetsharma/customer-support-intent-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vineetsharma/customer-support-intent-albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vineetsharma/customer-support-intent-albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vineetsharma/customer-support-intent-albert") model = AutoModelForSequenceClassification.from_pretrained("vineetsharma/customer-support-intent-albert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d54ee82147c47208cb7e0abd2c2646a9373587c549623cd1e063512639bd75
- Size of remote file:
- 46.8 MB
- SHA256:
- 571a79b39953414d1205f76bea68225425af334ae3ce22415c0a8ed01970444f
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