Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Vishnou/TinyBERT_SST2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vishnou/TinyBERT_SST2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vishnou/TinyBERT_SST2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vishnou/TinyBERT_SST2") model = AutoModelForSequenceClassification.from_pretrained("Vishnou/TinyBERT_SST2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 500
0973a13 -
Training in progress, step 500
49ad8b9
-
Training in progress, step 500
aa7ab57 -
Training in progress, step 500
00232d7 -
Training in progress, step 500
f143108 -
Training in progress, step 500
d5d5e25 -
Training in progress, step 500
bff92fd -
Training in progress, step 500
45403f2
-
Training in progress, step 500
be49bb1 -
Training in progress, step 500
b81555c