Text Classification
Transformers
PyTorch
Core ML
English
distilbert
custom_code
text-embeddings-inference
Instructions to use apple/ane-distilbert-base-uncased-finetuned-sst-2-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/ane-distilbert-base-uncased-finetuned-sst-2-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apple/ane-distilbert-base-uncased-finetuned-sst-2-english", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apple/ane-distilbert-base-uncased-finetuned-sst-2-english", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("apple/ane-distilbert-base-uncased-finetuned-sst-2-english", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle