Instructions to use Meanblock/JEV-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meanblock/JEV-CPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Meanblock/JEV-CPU")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Meanblock/JEV-CPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download manifests/models.json from Meanblock/JEV-CPU: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/Meanblock/JEV-CPU/resolve/main/manifests/models.json
- Command line
-
hf download hf://Meanblock/JEV-CPU/manifests/models.json
-
curl -L -o models.json https://huggingface.co/Meanblock/JEV-CPU/resolve/main/manifests/models.json
1.46 kB
| { | |
| "schema": "semif-phase1-models-v1", | |
| "models": [ | |
| { | |
| "role": "browser_ladder_phone_quality_reference", | |
| "source": "Qwen/Qwen3-0.6B", | |
| "revision": "c1899de289a04d12100db370d81485cdf75e47ca", | |
| "dtype": "bfloat16" | |
| }, | |
| { | |
| "role": "browser_ladder_desktop_quality_reference", | |
| "source": "openbmb/MiniCPM5-2B", | |
| "revision": "12a3808a956f869c767195e9266b59c4d21d92e2", | |
| "dtype": "bfloat16" | |
| }, | |
| { | |
| "role": "direct_option_logits", | |
| "source": "Qwen/Qwen3.5-4B", | |
| "revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", | |
| "dtype": "bfloat16" | |
| }, | |
| { | |
| "role": "native_reranker", | |
| "source": "Qwen/Qwen3-Reranker-4B", | |
| "revision": "22e683669bc0f0bd69640a1354a6d0aebcfeede5", | |
| "dtype": "bfloat16" | |
| }, | |
| { | |
| "role": "browser_phone_artifact", | |
| "source": "Qwen/Qwen3-0.6B-GGUF", | |
| "revision": "23749fefcc72300e3a2ad315e1317431b06b590a", | |
| "quantization": "Q8_0", | |
| "bytes": 639446688 | |
| }, | |
| { | |
| "role": "browser_desktop_artifact", | |
| "source": "openbmb/MiniCPM5-2B-GGUF", | |
| "revision": "2079a22f3beaa4e306449978533478fe0522f4b3", | |
| "quantization": "Q4_K_M", | |
| "bytes": 1561318368 | |
| }, | |
| { | |
| "role": "browser_high_memory_artifact", | |
| "source": "bartowski/Qwen_Qwen3.5-4B-GGUF", | |
| "revision": "4168f45a16a1290d65a4ec0fa312ae917a4c15d6", | |
| "quantization": "Q4_K_M", | |
| "bytes": 3013027808 | |
| } | |
| ] | |
| } | |