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
File size: 134 Bytes
3016de6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9996d087fb3ca79e18c2012e3c46473efb4566e8366ecea2b6bc84e18a94801d
size 442540845
|