Feature Extraction
Transformers
Safetensors
English
deberta-v2
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use GliteTech/ConSec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GliteTech/ConSec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GliteTech/ConSec", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GliteTech/ConSec", trust_remote_code=True) model = AutoModel.from_pretrained("GliteTech/ConSec", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da4febb87221c9805756ce44d081895823c3643ed6819edfa56440a6ffd320cd
- Size of remote file:
- 368 MB
- SHA256:
- cc8e2038fc80452fdf46c78fad96e984da050257f1fed05392bbbb4511d9f4a1
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