Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/bert_base_km_10_v1_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_km_10_v1_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/bert_base_km_10_v1_mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_km_10_v1_mnli") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/bert_base_km_10_v1_mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature440827c -
Model save
Verified signaturefc66704 -
Training in progress, epoch 8
Verified signature1f3f54d -
Training in progress, epoch 7
Verified signatureca47b74 -
Training in progress, epoch 6
Verified signatureff8a78b -
Training in progress, epoch 5
Verified signature8f9554e -
Training in progress, epoch 4
Verified signature0cbff46 -
Training in progress, epoch 3
Verified signaturef32e4b6 -
Training in progress, epoch 2
Verified signaturedf90ff9 -
Training in progress, epoch 1
Verified signature07bf538 -
initial commit
Verified signature337808c