Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use MaVier19/zero-shot_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaVier19/zero-shot_text_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MaVier19/zero-shot_text_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MaVier19/zero-shot_text_classification") model = AutoModelForSequenceClassification.from_pretrained("MaVier19/zero-shot_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create Intensilab
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Intensilab
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labels = ["modalisateur", "intensificateur", "atténuateur", "évaluatif"]
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