Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-bluebert-binary-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-bluebert-binary-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-bluebert-binary-random")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-bluebert-binary-random") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-bluebert-binary-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca1958475959afa7ea7dc4cf9c2552b71bcf7bd673395c3b2a57530cd590226a
- Size of remote file:
- 4.92 kB
- SHA256:
- 5accd6e3b6f5a04f2c1c05f60aaaf0977decec9ca11d57f8a02e5197976c7ae9
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