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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cb98c00736c46156891fcb7e1024b2bf0e4bdf5142c4850569dc6b721e0fb83
- Size of remote file:
- 438 MB
- SHA256:
- 632e6ec59b8cd3dc4372d09f15c17ea0e4a14059ac09e17161786a65f3abdd88
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