Instructions to use omicron1100/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omicron1100/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omicron1100/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omicron1100/dummy-model") model = AutoModelForMaskedLM.from_pretrained("omicron1100/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from omicron1100/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/omicron1100/dummy-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://omicron1100/dummy-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/omicron1100/dummy-model/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 58a7e6679ab6f8928cec213d86d7dc718005f46bc60f4e34ebf4291e81354f3f
- Size of remote file:
- 499 MB
- SHA256:
- 91e0375bef4e1e28dd27a585907c14788528db0668ee58a07823fe47958baeb0
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