Text Classification
Transformers
PyTorch
Turkish
bert
multi-label-classification
personality
turkish
classification
human-resources
custom-trained
text-embeddings-inference
Instructions to use MUR55/bert_turkish_personality_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MUR55/bert_turkish_personality_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MUR55/bert_turkish_personality_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MUR55/bert_turkish_personality_analysis") model = AutoModelForSequenceClassification.from_pretrained("MUR55/bert_turkish_personality_analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12440aa55f513479096ba19e16fb484222fdc9433a16b55daf5ca440c8cc4cc6
- Size of remote file:
- 3.83 kB
- SHA256:
- d02a45126eb990c55b0e643dde2d176902328ce5c520bfb9bb81d6b3dc22799e
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