Instructions to use deetsml/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deetsml/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deetsml/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deetsml/dummy-model") model = AutoModel.from_pretrained("deetsml/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_head.pkl from deetsml/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 309 kB
-
https://huggingface.co/deetsml/dummy-model/resolve/main/model_head.pkl
- Command line
-
hf download hf://deetsml/dummy-model/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/deetsml/dummy-model/resolve/main/model_head.pkl
309 kB
- Xet hash:
- feb81256f69ffd21acf41b87eaa9498faddc1b4fc6536f005c2b76e09212ceaf
- Size of remote file:
- 309 kB
- SHA256:
- f9a30431b5d6c36262536b263a16f2d4e3d6bbe7bf442ba377efc2c988c20b93
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