Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use tkuye/binary-skills-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkuye/binary-skills-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tkuye/binary-skills-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tkuye/binary-skills-classifier") model = AutoModelForSequenceClassification.from_pretrained("tkuye/binary-skills-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83539ab55f0a6bb2490521cf9ed2f12278aeb20553c68cae8476d5f239dce856
- Size of remote file:
- 268 MB
- SHA256:
- 723c316104cfda0eee96f97f30b5561a67047cf4c7d096102d1e5a6b63163ec3
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