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:
- 625e867109c84dfa25d319fd58b0cb7ac0eb82ec1981684682e3b0ca8c11c2ff
- Size of remote file:
- 433 MB
- SHA256:
- f944b2a8df7548d78b2aa5ee0407ac48af719d7c3d926f3cff180f96c994ad8a
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