Text Classification
Transformers
TensorFlow
roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use xinyixiuxiu/roberta-base-SST2-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xinyixiuxiu/roberta-base-SST2-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xinyixiuxiu/roberta-base-SST2-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xinyixiuxiu/roberta-base-SST2-finetuned") model = AutoModelForSequenceClassification.from_pretrained("xinyixiuxiu/roberta-base-SST2-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened almost 3 years ago
by
librarian-bot