Text Classification
Transformers
Safetensors
English
bert
tweet-classification
meme-detection
event-detection
text-embeddings-inference
Instructions to use Aryan047/Dynamic-event-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aryan047/Dynamic-event-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aryan047/Dynamic-event-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aryan047/Dynamic-event-detector") model = AutoModelForSequenceClassification.from_pretrained("Aryan047/Dynamic-event-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53b80b6f2e938cc577c70eae7da26353a4ef8a6b354731ec50d9e5768337766b
- Size of remote file:
- 438 MB
- SHA256:
- 24d6b17c203ad33df80d5e6e1ddce4676a9aa7fb7c2154e7d772ac28b3599b39
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