Instructions to use sangmichaelxie/randomselect-roberta-continuedpretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmichaelxie/randomselect-roberta-continuedpretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sangmichaelxie/randomselect-roberta-continuedpretrain")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sangmichaelxie/randomselect-roberta-continuedpretrain") model = AutoModel.from_pretrained("sangmichaelxie/randomselect-roberta-continuedpretrain") - 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 sha256:9f61bc430cc7b80e59a8a7c97d2fa60a6845038b47eb499c5a3e28b377b36535
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size 498609104
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