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:
- 460be05dc346d217538c27d8db4976a5940330fc1125fae87dffe5a06798c9d0
- Size of remote file:
- 4.28 kB
- SHA256:
- e8ce25c4bdb60b1125368104117637a601ff1b45ba4a63ffcf4b71dc7c42267d
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