Instructions to use wsntxxn/effb2-trm-clotho-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wsntxxn/effb2-trm-clotho-captioning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wsntxxn/effb2-trm-clotho-captioning", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wsntxxn/effb2-trm-clotho-captioning", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (12d9b5a6c6a1a776513c3f9d089d5081ef44e981)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:03073cae1197573c44125fca3da5b538dacd5319513f0d489e0de63b781087ef
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size 54581244
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