Instructions to use junujunu/roberta-pretrain-vts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junujunu/roberta-pretrain-vts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junujunu/roberta-pretrain-vts")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("junujunu/roberta-pretrain-vts") model = AutoModel.from_pretrained("junujunu/roberta-pretrain-vts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d99e325e547ee19ee2321edcb9f26905947d95ff256a56fe6c616e6031b068aa
- Size of remote file:
- 443 MB
- SHA256:
- 9996d087fb3ca79e18c2012e3c46473efb4566e8366ecea2b6bc84e18a94801d
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