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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0152d1d2d371a58ef991d6dbdba182bfb0074a55fe163bb2e847e8f3e3dd3f95
- Size of remote file:
- 443 MB
- SHA256:
- dd890f575ac52751d556aff8cab42185cf361597466c5a9e111912da584beaeb
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