Feature Extraction
Transformers
Safetensors
English
modernbert
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use GliteTech/DisamBertSingleSense-omsti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GliteTech/DisamBertSingleSense-omsti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GliteTech/DisamBertSingleSense-omsti", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GliteTech/DisamBertSingleSense-omsti", trust_remote_code=True) model = AutoModel.from_pretrained("GliteTech/DisamBertSingleSense-omsti", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1543d1e55fb23484a6d73206af89d93b29a5b57ae3b54f04a161f6a0790b207
- Size of remote file:
- 5.27 kB
- SHA256:
- 4fe0d0584a837e87f6a1f552081f212c721b0005d15ba8ca17c548a49f505081
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