# No training data required
Stable Diffusion E2e Ft Depth
Apache-2.0
This is a monocular depth estimation model based on the Apache-2.0 license, suitable for zero-shot depth estimation tasks in wild scenes.
3D Vision
S
GonzaloMG
28
1
Zeroshot Classification De
MIT
A German zero-shot classification model fine-tuned on DeBERTa-v3-base, suitable for multi-label classification tasks
Text Classification
Transformers German

Z
michaelp11
46
1
Robertafinetune
MIT
This is a zero-shot classification model under the MIT License, suitable for various classification tasks without specific training.
Text Classification
Transformers

R
thugCodeNinja
51
1
Zsc Text
MIT
This is a zero-shot classification model under the MIT license, suitable for various classification tasks.
Text Classification
Transformers

Z
deepnight-research
18
0
Test Zeroshot
This is a zero-shot classification model capable of classifying text without task-specific training data
Text Classification
Transformers

T
paulhindemith
31
0
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