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:
- 310f0bf714ca2865547f60117bba549e0b0d7f3e2bdb4d9d4d1be44d5c7a2a56
- Size of remote file:
- 5.2 kB
- SHA256:
- 2d95f651825f49a44a544ba4f8bb25740788ee96b49b002bdec27e31a9d9b4df
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