Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use tkuye/skills-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkuye/skills-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tkuye/skills-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tkuye/skills-classifier") model = AutoModelForSequenceClassification.from_pretrained("tkuye/skills-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f80cef48d48bbf86f46aea7e82748569e825c22a43a76a57ae967674df9099de
- Size of remote file:
- 3.38 kB
- SHA256:
- 53932571ea32f903125b1e25dd5520269b79e91f6c81b2a8fc3e1fd501966d74
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