Text Classification
Transformers
PyTorch
English
distilbert
Pytorch
DistilBERT
Sentiment Analysis
2-classes
text-embeddings-inference
Instructions to use DreamyBeaver/distilBERT-SA-pietonium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DreamyBeaver/distilBERT-SA-pietonium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DreamyBeaver/distilBERT-SA-pietonium")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DreamyBeaver/distilBERT-SA-pietonium") model = AutoModelForSequenceClassification.from_pretrained("DreamyBeaver/distilBERT-SA-pietonium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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