Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HowMannyMore/bert-intent-amazon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HowMannyMore/bert-intent-amazon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HowMannyMore/bert-intent-amazon")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HowMannyMore/bert-intent-amazon") model = AutoModelForSequenceClassification.from_pretrained("HowMannyMore/bert-intent-amazon") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfcf160daa1e4480b84c9cd3a5b5981a9ef099dbbe81fece34433745fccc8606
- Size of remote file:
- 4.98 kB
- SHA256:
- 9f1fbfb9694d30155f9f3afaa711c9a8616d9649f2503545c5bd0dbef60c354f
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