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:
- 40491b192f0796724fcc18795e278ccf72813a41d8a66c896d276b9a5fa8971c
- Size of remote file:
- 268 MB
- SHA256:
- cc09cf6fb2e7c7ad004cb1d9c7201af9c9455a93c5ee4ded8b8c080aeec2e584
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