Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/tiny_bert_rand_20_v2_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/tiny_bert_rand_20_v2_sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/tiny_bert_rand_20_v2_sst2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/tiny_bert_rand_20_v2_sst2") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/tiny_bert_rand_20_v2_sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature1296183 -
Model save
Verified signature415281f -
Training in progress, epoch 5
Verified signature5c6c37a -
Training in progress, epoch 4
Verified signatureee06728 -
Training in progress, epoch 3
Verified signatureb014d4d -
Training in progress, epoch 2
Verified signature4d5270c -
Training in progress, epoch 1
Verified signature1cb9ce2