Instructions to use bada/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bada/test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("bada/test") model = AutoModelForPreTraining.from_pretrained("bada/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from bada/test: direct link, hf CLI and curl.
- Browser
- Download file 377 MB
-
https://huggingface.co/bada/test/resolve/4eaa674bbdd8e1bedc030d34ee2457dcdfce3397/flax_model.msgpack
- Command line
-
hf download hf://bada/test@4eaa674bbdd8e1bedc030d34ee2457dcdfce3397/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bada/test/resolve/4eaa674bbdd8e1bedc030d34ee2457dcdfce3397/flax_model.msgpack
377 MB
- Xet hash:
- 64f45773715f8ef2c42233d0c1175c3861f94bff5a8e5bca09dfb89d8690c020
- Size of remote file:
- 377 MB
- SHA256:
- 68e5c1ea85620b3ed4542daf0c4fd49a9f207b773666727769e783a971208ba8
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