Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-distilbert-binary-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-distilbert-binary-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-distilbert-binary-random")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-distilbert-binary-random") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-distilbert-binary-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70cb5ca1ed07ead52d5f33fd96eb8fb76fd0a314abbf9d20a917b97e74d3966c
- Size of remote file:
- 268 MB
- SHA256:
- 0831b1eeba47abeb43c4ad596f5c30676bb0aa00cb5b763097f0fa6b231dc297
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