Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/tiny_bert_rand_20_v1_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/tiny_bert_rand_20_v1_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/tiny_bert_rand_20_v1_mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/tiny_bert_rand_20_v1_mnli") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/tiny_bert_rand_20_v1_mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signatureb174bad -
Model save
Verified signaturef6a3cc7 -
Training in progress, epoch 8
Verified signature00eeb7a -
Training in progress, epoch 7
Verified signatureec93487 -
Training in progress, epoch 6
Verified signature214e682 -
Training in progress, epoch 5
Verified signature5da5fa0 -
Training in progress, epoch 4
Verified signature2c359a6 -
Training in progress, epoch 3
Verified signature8a52381 -
Training in progress, epoch 2
Verified signature8611ecc -
Training in progress, epoch 1
Verified signature5680e71