Instructions to use sofom/Style-Embedding-m4_extended_arxiv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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- Transformers
How to use sofom/Style-Embedding-m4_extended_arxiv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-m4_extended_arxiv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-m4_extended_arxiv") model = AutoModel.from_pretrained("sofom/Style-Embedding-m4_extended_arxiv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-m4_extended_arxiv")
model = AutoModel.from_pretrained("sofom/Style-Embedding-m4_extended_arxiv", device_map="auto")Quick Links
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Paper for sofom/Style-Embedding-m4_extended_arxiv
Paper • 1910.09700 • Published • 61
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-m4_extended_arxiv")