Feature Extraction
Safetensors
Transformers
English
hierarchy-transformers
bert
hierarchy-encoding
subsumption-relationships
text-embeddings-inference
Instructions to use Hierarchy-Transformers/HiT-MiniLM-L6-WordNetNoun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hierarchy-Transformers/HiT-MiniLM-L6-WordNetNoun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Hierarchy-Transformers/HiT-MiniLM-L6-WordNetNoun")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Hierarchy-Transformers/HiT-MiniLM-L6-WordNetNoun") model = AutoModel.from_pretrained("Hierarchy-Transformers/HiT-MiniLM-L6-WordNetNoun") - Notebooks
- Google Colab
- Kaggle
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