Instructions to use Nubletz/bert-simplestyle-split-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nubletz/bert-simplestyle-split-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nubletz/bert-simplestyle-split-embedding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Nubletz/bert-simplestyle-split-embedding") model = AutoModel.from_pretrained("Nubletz/bert-simplestyle-split-embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0559c31c512269c2b7977dcd90b0c8366020c8502813eead0f4bd6c0a02f1e8b
- Size of remote file:
- 438 MB
- SHA256:
- 5106aa2dfca154ce76b4291d8e1cf2cfde8558d3484e364cdcb455645d0a432f
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