Instructions to use textattack/bert-base-uncased-SST-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/bert-base-uncased-SST-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/bert-base-uncased-SST-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-uncased-SST-2") model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-uncased-SST-2") - Inference
- Notebooks
- Google Colab
- Kaggle
Create README.md
#4 opened over 1 year ago
by
Wuyuhang11
Report for textattack/bert-base-uncased-SST-2
#3 opened about 2 years ago
by
giskard-bot
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot