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 pytorch_model.bin from deetsml/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/deetsml/dummy-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://deetsml/dummy-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deetsml/dummy-model/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 0a9d7ce097fb64b0389975ab042da46a88faafa7cd605670d0ab62b9577277d5
- Size of remote file:
- 1.63 GB
- SHA256:
- 0a686fb75bb5b1c11fd33c8602b89bf4b16b877c3dc55a429df630b3018bd4f5
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