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
File size: 1,827 Bytes
7845694 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # 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.
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