Instructions to use hansgun/model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hansgun/model_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hansgun/model_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hansgun/model_test") model = AutoModelForMaskedLM.from_pretrained("hansgun/model_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
init
Browse files
try_02-softmax-cp-0003.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:46f9a7e5b1d50c7094f3f0139665d9ac8d64b27abbb2c810d83ab6aafd0bc7a5
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size 369024328
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