Text Classification
Transformers
PyTorch
Turkish
bert
deprem-clf-v13
Eval Results (legacy)
text-embeddings-inference
Instructions to use deprem-ml/deprem_bert_128k_v13_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/deprem_bert_128k_v13_beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deprem-ml/deprem_bert_128k_v13_beta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deprem-ml/deprem_bert_128k_v13_beta") model = AutoModelForSequenceClassification.from_pretrained("deprem-ml/deprem_bert_128k_v13_beta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K