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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e60a4117dc0c3cc68002bd660c942a3adb77b76a3ac97d3bc9130780aea6c6fb
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size 442499016
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