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:
- 75273a68a631a60bad33d427fc5884efeab5bd5be3513901c6813c46b1430458
- Size of remote file:
- 5.27 kB
- SHA256:
- 4ac6f94a73fd655333f073ab7b1deec6fa994eee153b84935c33573c818f37a0
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