Download scripts/acquire_gpu_models.py from arushsinghal/setu-neural-eeg: direct link, hf CLI and curl.
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- Download file 1.85 kB
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https://huggingface.co/arushsinghal/setu-neural-eeg/resolve/main/scripts/acquire_gpu_models.py
- Command line
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hf download hf://arushsinghal/setu-neural-eeg/scripts/acquire_gpu_models.py
-
curl -L -o acquire_gpu_models.py https://huggingface.co/arushsinghal/setu-neural-eeg/resolve/main/scripts/acquire_gpu_models.py
1.85 kB
| """Acquire pinned official assets; existing files are verified, never silently replaced.""" | |
| import json,hashlib,urllib.request | |
| from pathlib import Path | |
| def acquire(): | |
| for name in ['reve-base','reve-positions']: | |
| with urllib.request.urlopen('https://huggingface.co/api/models/brain-bzh/'+name,timeout=30) as response:access=json.load(response) | |
| if access.get('gated') or access.get('private'): | |
| Path('reports/model_access_blocker.json').write_text(json.dumps({'model':name,'gated':access.get('gated'),'private':access.get('private'),'action':'Stop; user must handle official license/access requirements. No alternate host, token or mirror will be used.'},indent=2)) | |
| raise PermissionError('Model access requires official authorization/license acceptance; see reports/model_access_blocker.json') | |
| j=json.load(open(f'reports/{name}_files.json'));root=Path('models')/name;root.mkdir(exist_ok=True) | |
| for e in j['siblings']: | |
| n=e['rfilename'] | |
| if n=='.gitattributes':continue | |
| p=root/n;p.parent.mkdir(parents=True,exist_ok=True) | |
| if not p.exists(): | |
| with urllib.request.urlopen(f"https://huggingface.co/brain-bzh/{name}/resolve/{j['sha']}/{n}",timeout=120) as r,open(str(p)+'.part','wb') as out: | |
| while b:=r.read(1024*1024):out.write(b) | |
| Path(str(p)+'.part').replace(p) | |
| digest=hashlib.sha256(p.read_bytes()).hexdigest() | |
| if e.get('lfs'):assert digest==e['lfs']['sha256'],str(p) | |
| print('Verified',p,p.stat().st_size,digest,flush=True) | |
| p=Path('models/csbrain_pretrained.pth') | |
| if not p.exists(): | |
| import gdown | |
| assert gdown.download(id='1Z67je1HQhClyG9XER_zJzFMAKSVNmnF0',output=str(p),quiet=False,use_cookies=False) | |
| sources=Path('reports/gpu_sources.json') | |
| if sources.exists():assert hashlib.sha256(p.read_bytes()).hexdigest()==json.load(open(sources))['csbrain']['checkpoint_sha256'] | |
| if __name__=='__main__':acquire() | |