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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8853356fe1aceaf681617cfc91c7880f260355c7371a5cd4a4e560cc75a5b72e
- Size of remote file:
- 5.27 kB
- SHA256:
- 717507419deb53ab5dc0abef075bca3820ae90ddafd0ae97e346a0d216f618cd
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