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:
- f103da8aaba0f21b31e4dc4e22b3ce3fc244bc5d9119cf56f22e122c4973f02d
- Size of remote file:
- 4.92 kB
- SHA256:
- 0497775f34142786f29fb2704eaa52548a1fca33e8ab53ea038862d02a9e2c06
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