Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-bert-binary-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-bert-binary-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-bert-binary-random")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-bert-binary-random") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-bert-binary-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f50506a3780722d81f1f076836c7d081f82f2a0c8645f2e54660deedc2c14c84
- Size of remote file:
- 4.92 kB
- SHA256:
- 1913193bba01266f17a876cded6a0a2dbc5ee5aae197189ebfdb3f640d3ec458
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