Text Classification
Transformers
Safetensors
bert
cluster-router
l7
repository-library
repository_library_search_stack
research-library
retrieval
text-embeddings-inference
Instructions to use PeytonT/cluster-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/cluster-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/cluster-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/cluster-router") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/cluster-router") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88a8b8a27b7147e65be9aa90b6dda6f9a94f8ee57922deedd8d48ed05f7cd607
- Size of remote file:
- 5.78 kB
- SHA256:
- eb14bc9a1bbe3af6e92f93d31e57f716bc9a7eeb97066c82fd5cdb43ec40085d
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