Text Classification
Transformers
Safetensors
modernbert
multi-label
capability-classifier
routing
text-embeddings-inference
Instructions to use regolo/modernbert-capability-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use regolo/modernbert-capability-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="regolo/modernbert-capability-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("regolo/modernbert-capability-classifier") model = AutoModelForSequenceClassification.from_pretrained("regolo/modernbert-capability-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 702f8329c0cced9e27a4d46e220dc53639062a6d77dd4311f697fda8ba112b5e
- Size of remote file:
- 792 MB
- SHA256:
- 8d94439d1ee1ad4370c1dc3ba905b5ef71720e1ab85d5e9ee335db3ffa44cced
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