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