Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-binary-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-binary-class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-binary-class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-binary-class") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-binary-class") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9cd13f957b4e87e6c13e14249a6d2a3187f03855e99a95503dfd66b15af97ad
- Size of remote file:
- 4.54 kB
- SHA256:
- f739c4c37b8ce47c8f6a8429d0b9611948aa21788db0f76e7977fe117d243f99
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