Instructions to use kejian/downy-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/downy-conditional with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/downy-conditional") model = AutoModel.from_pretrained("kejian/downy-conditional") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36b2099f8668b63cea5a08fbe0d5c3f26a52b46841ed8edd4d8fbd85889cb880
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size 456639696
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