Text Classification
Transformers
Safetensors
English
deberta-v2
fill-mask
Generated from Trainer
embeddings
Eval Results (legacy)
text-embeddings-inference
Instructions to use agentlans/deberta-v3-base-zyda-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/deberta-v3-base-zyda-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agentlans/deberta-v3-base-zyda-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("agentlans/deberta-v3-base-zyda-2") model = AutoModelForMaskedLM.from_pretrained("agentlans/deberta-v3-base-zyda-2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K