Instructions to use julien-c/dummy-unknown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/dummy-unknown with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/dummy-unknown")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/dummy-unknown") model = AutoModelForMaskedLM.from_pretrained("julien-c/dummy-unknown", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from julien-c/dummy-unknown: direct link, hf CLI and curl.
- Browser
- Download file 58.5 kB
-
https://huggingface.co/julien-c/dummy-unknown/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://julien-c/dummy-unknown/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/julien-c/dummy-unknown/resolve/main/flax_model.msgpack
58.5 kB
- Xet hash:
- ff831ef9590de13abfb4caf6957b4dfff3930702c169f28a0fc47ff42b14aec5
- Size of remote file:
- 58.5 kB
- SHA256:
- da73dde871fe14bf876064a40368cefa5e014aa49f408b61ca8350c54456b198
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