Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/bert_base_km_50_v2_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_km_50_v2_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/bert_base_km_50_v2_mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_km_50_v2_mnli") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/bert_base_km_50_v2_mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature85db4ef -
Model save
Verified signature015b1db -
Training in progress, epoch 8
Verified signaturebe195e2 -
Training in progress, epoch 7
Verified signature2c161bc -
Training in progress, epoch 6
Verified signature28b98df -
Training in progress, epoch 5
Verified signature29f2514 -
Training in progress, epoch 4
Verified signature08d9ed1 -
Training in progress, epoch 3
Verified signaturecc9fa01 -
Training in progress, epoch 2
Verified signature05b3e1b -
Training in progress, epoch 1
Verified signatured42a279 -
initial commit
Verified signature558ecfa