Instructions to use kani1021/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kani1021/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kani1021/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kani1021/dummy-model") model = AutoModelForMaskedLM.from_pretrained("kani1021/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from kani1021/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/kani1021/dummy-model/resolve/main/model.safetensors
- Command line
-
hf download hf://kani1021/dummy-model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kani1021/dummy-model/resolve/main/model.safetensors
443 MB
- Xet hash:
- 9189116b7fa05a947e057c077dac8e2af9b3187d305232511b62626835f616a6
- Size of remote file:
- 443 MB
- SHA256:
- 7ec33e2edeca9c3e2d59609b5b074bfa7d2f8de7757b6de945ea3824c31778c0
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