Instructions to use pius-code/False with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pius-code/False with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("pius-code/False") model = AutoModelForPreTraining.from_pretrained("pius-code/False", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from pius-code/False: direct link, hf CLI and curl.
- Browser
- Download file 332 MB
-
https://huggingface.co/pius-code/False/resolve/main/model.safetensors
- Command line
-
hf download hf://pius-code/False/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/pius-code/False/resolve/main/model.safetensors
332 MB
- Xet hash:
- 0a959a712216979786f52a07e176fbc2f4691a7d2b2db1ecb4095949b5ebd4d1
- Size of remote file:
- 332 MB
- SHA256:
- 442d019664a2c130731c7b3357af3190abb54814482e7251f5fcf29cd5e3069e
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