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:
- 5f329a3fe08cc19d05a376d6ff8606f2eb2a3b4262d7527449917eb80eb20e91
- Size of remote file:
- 438 MB
- SHA256:
- 217986ea59186a6f7b4d0329bb7ac9fc0218e1d3aecc3cc6b04d27bfb82ee344
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