Instructions to use Sayan01/tiny-bert-stsb-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-stsb-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-stsb-distilled")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-stsb-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-stsb-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 1
0578af8 -
Training in progress, epoch 1
891e7ba -
Training in progress, epoch 22
f2488cd -
Training in progress, epoch 18
d2a07ee -
Training in progress, epoch 13
76918ca -
Training in progress, epoch 1
d985db0 -
Training in progress, epoch 1
be3cca3 -
Training in progress, epoch 1
0e37ce6 -
Training in progress, epoch 1
5122e9e -
Training in progress, epoch 1
0f3c8de -
Training in progress, epoch 1
04f61e1 -
Training in progress, epoch 17
f555d50 -
Training in progress, epoch 13
14b0227 -
Training in progress, epoch 9
d4aa296 -
Training in progress, epoch 5
fb55a8f -
Training in progress, epoch 1
3db7a4e