Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/bert_base_km_20_v1_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_km_20_v1_stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/bert_base_km_20_v1_stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_km_20_v1_stsb") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/bert_base_km_20_v1_stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signatureff3026a -
Model save
Verified signature196bf54 -
Training in progress, epoch 5
Verified signature0e5379d -
Training in progress, epoch 4
Verified signatured64ac64 -
Training in progress, epoch 1
Verified signature36ca0da -
End of training
Verified signature4542fae -
Model save
Verified signature81c21a6 -
Training in progress, epoch 6
Verified signaturec8abbee -
Training in progress, epoch 4
Verified signaturee75881f -
Training in progress, epoch 1
Verified signature0a811c1 -
initial commit
Verified signature6f97047