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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Meanblock/JEV-CPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """Download redistributable source snapshots used by the evaluation manifests.""" | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| from pathlib import Path | |
| import urllib.request | |
| SOURCES = { | |
| "wanli-test.jsonl": ( | |
| "https://huggingface.co/datasets/alisawuffles/WANLI/resolve/" | |
| "61c95318fd71c55b6ba355d76253254615f387ec/test.jsonl", | |
| "4276e0af7fcdf657d1ab7beb54eaf025fda592a76c9ee86b63b7871953fc74fd", | |
| ), | |
| "every-experiments.json": ( | |
| "https://typesafe-parallel-judgment-lab.every-4573.chatgpt.site/downloads/experiments.json", | |
| "32311398e800e2e22e8cb945d41ae5328aedebb46cc57193e2b332ec17ed78a0", | |
| ), | |
| "every-source.zip": ( | |
| "https://typesafe-parallel-judgment-lab.every-4573.chatgpt.site/downloads/typesafe-lab-source.zip", | |
| "9fbf42e9d9e7cd3b072e0271a0959dbfdca85618e93fe4f0ca519d683c418bf0", | |
| ), | |
| } | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--output", type=Path, required=True) | |
| args = parser.parse_args() | |
| args.output.mkdir(parents=True, exist_ok=True) | |
| for name, (url, expected) in SOURCES.items(): | |
| destination = args.output / name | |
| if destination.exists(): | |
| raise ValueError(f"Refusing to replace {destination}") | |
| request = urllib.request.Request(url, headers={"User-Agent": "semif-research-fetch/1.0"}) | |
| with urllib.request.urlopen(request, timeout=60) as response: | |
| data = response.read(64 * 1024 * 1024 + 1) | |
| if len(data) > 64 * 1024 * 1024: | |
| raise ValueError(f"{url} exceeded the 64 MiB download limit") | |
| actual = hashlib.sha256(data).hexdigest() | |
| if actual != expected: | |
| raise ValueError(f"{url} changed: expected {expected}, received {actual}") | |
| destination.write_bytes(data) | |
| print(f"{actual} {destination}") | |
| if __name__ == "__main__": | |
| main() | |