Zero-Shot Classification
Transformers
Safetensors
English
deberta-v2
text-classification
Politics
Topic Classification
Hate Speech
Opinion Mining
Event Extraction
Instructions to use mlburnham/Political_DEBATE_base_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlburnham/Political_DEBATE_base_v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="mlburnham/Political_DEBATE_base_v1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mlburnham/Political_DEBATE_base_v1.0") model = AutoModelForSequenceClassification.from_pretrained("mlburnham/Political_DEBATE_base_v1.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cbc9b891bfd53275994daa97f4fe058cf4e344cebe675f5e1b97600d5f9db74
- Size of remote file:
- 738 MB
- SHA256:
- 25a337cd5d5689188693b2cf339f041423d501c74279e9ab51171465aa0011ef
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