Feature Extraction
Transformers
Safetensors
English
modernbert
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use GliteTech/DisambertSingleSense-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GliteTech/DisambertSingleSense-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GliteTech/DisambertSingleSense-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GliteTech/DisambertSingleSense-base", trust_remote_code=True) model = AutoModel.from_pretrained("GliteTech/DisambertSingleSense-base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82004eb5b288152ce144faf9ce503a7eec76f3d2c9ced99d8249af933fa33f5d
- Size of remote file:
- 596 MB
- SHA256:
- 9dde9eb27703b90db3b8736d9f877e8e1f25f2237102e5a8053c38f655c8bb92
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