Text Classification
Transformers
Safetensors
PyTorch
bert
sentiment-analysis
sst2
glue
text-embeddings-inference
Instructions to use mi55th/bert-sst2-nesterov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mi55th/bert-sst2-nesterov with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mi55th/bert-sst2-nesterov")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mi55th/bert-sst2-nesterov") model = AutoModelForSequenceClassification.from_pretrained("mi55th/bert-sst2-nesterov", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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