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