If you want to run a single file, you can code like this: repo_id = "/content/model.ckpt" pipe = StableDiffusionPipeline.from_single_file( repo_id, torch_dtype=torch.float16, use_karras_sigmas=True, algorithm_type="sde-dpmsolver++" ) pipe.to('cuda') image = pipe( prompt="a gir...
TheModuleNotFoundErrormay appear due torelative imports. You can learn everything about relative imports and how to create your own module inthis article. You may have mixed up Python and pip versions on your machine. In this case, to installsafetensorsfor Python 3, you may want to trypyt...
File metadata and controls Preview Code Blame 90 lines (76 loc) · 5.05 KB Raw How to release Before the release Simple checklist on how to make releases for safetensors. Freeze main branch. Run all tests (Check CI has properly run) If any significant work, check benchmarks: cd safe...
Because it loads so fast and is framework agnostic, we can even use the format to load models from the same file in PyTorch or TensorFlow. The security audit Since safetensors main asset is providing safety guarantees, we wanted to make sure it actually delivered. That's ...
That one can be checked if you replace safetensors.torch.load_file(filename) with safetensors.torch.load(open(filename, 'rb').read())) you would be avoiding memmap entirely Bad disk sector ? Not sure how this applies at all anymore, but I remember in the old days you could have ba...
Run "python test_st.py". Python output: 0 opened Traceback (most recent call last): File "D:\tmp\test_st.py", line 7, in with safe_open( "1.safetensors", framework="pt", device="cpu") as f1: safetensors_rust.SafetensorError: Error while deserializing header: InvalidHeaderDeseria...
from_pretrained("path/to/model") model = LlamaForCausalLM.from_pretrained("path/to/model", use_safetensors=True)However, I'm running into this error:Traceback (most recent call last): File "/Users/maxhager/Projects2023/nsfw/model_run.py", line 4, in <module> model = LlamaForCausal...
How can I prevent this? Here is what I am simply doing: model.push_to_hub(new_model, use_temp_dir=False) tokenizer.push_to_hub(new_model, use_temp_dir=False) Wauplintransferred this issue from huggingface/huggingface_hubSep 5, 2023 ...