Text Classification
Transformers
Safetensors
deberta-v2
zero-shot-classification
sentiment-analysis
financial-news
startups
nli
business-intelligence
text-embeddings-inference
Instructions to use Soumil24/zero-shot-startup-sentiment-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soumil24/zero-shot-startup-sentiment-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Soumil24/zero-shot-startup-sentiment-v2", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Soumil24/zero-shot-startup-sentiment-v2") model = AutoModelForSequenceClassification.from_pretrained("Soumil24/zero-shot-startup-sentiment-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!