Text Classification
Transformers
PyTorch
Turkish
bert
deprem-clf-v1
Eval Results (legacy)
text-embeddings-inference
Instructions to use deprem-ml/deprem_bert_128k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/deprem_bert_128k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deprem-ml/deprem_bert_128k")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deprem-ml/deprem_bert_128k") model = AutoModelForSequenceClassification.from_pretrained("deprem-ml/deprem_bert_128k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
19c1613 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:85612c6a9e63ad6ac9493561cc857f0e3509dd41d474ebeb85cc354f39962f0f
size 737484917
|