scx-admin/scx-router-v0.1
scx-admin/scx-router-v0.1 is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →More zero-shot-classification models
facebook/bart-large-mnli
facebook/bart-large-mnli is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
scx-admin/scx-router-v0.1
scx-admin/scx-router-v0.1 is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX
kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
techtheist/deberta-v3-small-tasksource-nli-onnx
techtheist/deberta-v3-small-tasksource-nli-onnx is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
oddadmix/Nawah-Router-v3
oddadmix/Nawah-Router-v3 is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
Operate a GPU cloud or inference API?
Reach developers after they have selected a model and are ready to run it.