Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use victorbahlangene/deberta-v3-base-fine-Disaster-Tweets-Part3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use victorbahlangene/deberta-v3-base-fine-Disaster-Tweets-Part3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="victorbahlangene/deberta-v3-base-fine-Disaster-Tweets-Part3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("victorbahlangene/deberta-v3-base-fine-Disaster-Tweets-Part3") model = AutoModelForSequenceClassification.from_pretrained("victorbahlangene/deberta-v3-base-fine-Disaster-Tweets-Part3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K