Instructions to use tzoght/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tzoght/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tzoght/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tzoght/dummy-model") model = AutoModelForMaskedLM.from_pretrained("tzoght/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tzoght/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/tzoght/dummy-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tzoght/dummy-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tzoght/dummy-model/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 51eb5febffd2fe47c2fafe4166168320494e1ae29ae7b88bc72b922ca58ab0f3
- Size of remote file:
- 443 MB
- SHA256:
- 82dfc71a0e01e21c70c6c818eabe752c5ccc2d499191ca0c131b5e7935b8525a
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