Instructions to use sofom/Style-Embedding-hyperparam-lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-hyperparam-lr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-hyperparam-lr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-hyperparam-lr") model = AutoModelForMultimodalLM.from_pretrained("sofom/Style-Embedding-hyperparam-lr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 129b6925a6397aa94fa7fbda5588afe861fb6c7e5bfafa143ceca11ca0f0f121
- Size of remote file:
- 249 MB
- SHA256:
- dd86266bc194a323b1e228d617f1bcf7e613af4ed5ac3984e61faeaa398a99a2
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