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
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Download docs/media/README.md from Meanblock/JEV-CPU: direct link, hf CLI and curl.
- Browser
- Download file 1.83 kB
-
https://huggingface.co/Meanblock/JEV-CPU/resolve/main/docs/media/README.md
- Command line
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hf download hf://Meanblock/JEV-CPU/docs/media/README.md
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curl -L -o README.md https://huggingface.co/Meanblock/JEV-CPU/resolve/main/docs/media/README.md
1.83 kB
| # Apple Silicon CLI capture | |
|  | |
| [Download the terminal recording](openjev-mlx.cast) and replay it with | |
| `asciinema play openjev-mlx.cast`. This is an asciicast v2 recording of the | |
| actual process output and timing, not a simulated terminal animation. The PNG | |
| is a browser screenshot of the completed recording in asciinema-player 3.17.0. | |
| Captured on 2026-09-17 with an Apple M5 Max, 128 GiB unified memory, Metal, | |
| MLX 0.32.2, and pinned MLX-LM 0.32.0. The code under test was commit | |
| `56e7ce2a38214137f476d2444e9193f72dcbb4ab`, before the configurable-cache | |
| follow-up; this run used the unchanged 256 MiB default. | |
| The fixture is `examples/decisions.jsonl`. The actual CLI output is retained in | |
| [openjev-mlx-results.jsonl](openjev-mlx-results.jsonl), including model revision, | |
| source hashes, probabilities, and timing metadata. The small displayed table | |
| selects the largest recorded probability for each row; it is presentation of | |
| the saved output, not additional inference. `1.0000` is rounded to four decimals. | |
| This historical recording retains the former OpenJev name and command. | |
| For the current SemIf checkout, run from the repository root after installing | |
| the MLX extra: | |
| ```bash | |
| semif-score --backend mlx --mode direct \ | |
| --model Qwen/Qwen3.5-4B \ | |
| --revision 851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a \ | |
| --input examples/decisions.jsonl \ | |
| --output results-mlx-demo.jsonl | |
| ``` | |
| The recorded output path is abbreviated to `<new demo output>` on screen; | |
| choose a new path for each run. The checkpoint was already cached, network | |
| access was disabled, and download progress bars were suppressed. The recorded | |
| 6.36-second wall time includes loading and hashing. It is a CLI demonstration, | |
| not the throughput benchmark. Conditional option scores are uncalibrated. | |