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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c35225675d59d82451a28e41edaf8ad6fd071fbffe1b45cc25cae4b56b54a783
- Size of remote file:
- 3.44 kB
- SHA256:
- 1555e1d25d126f04100c718db2b7a6d566f96a1e4deb4eae3c05e6fd8c6d8f02
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