Instructions to use rays2pix/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rays2pix/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rays2pix/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rays2pix/dummy-model") model = AutoModelForMaskedLM.from_pretrained("rays2pix/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rays2pix/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/rays2pix/dummy-model/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://rays2pix/dummy-model@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rays2pix/dummy-model/resolve/refs%2Fpr%2F1/pytorch_model.bin
443 MB
- Xet hash:
- bc4a3e5f266c84c5a3d3fe7be1e32b326e18b804a19577558e5979fecb42a7d8
- Size of remote file:
- 443 MB
- SHA256:
- 49bcca0a8b0e23a9d13e5cc64b16ad539f5316ec5f50e56d2062960592481075
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