Instructions to use diffuserconfuser/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffuserconfuser/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="diffuserconfuser/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("diffuserconfuser/roberta-base") model = AutoModelForQuestionAnswering.from_pretrained("diffuserconfuser/roberta-base", device_map="auto") - 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 sha256:0f8d723b4566c2fb0b397c2ea728e1884c0746959f9bbae70210f6a2d6c4de29
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size 496250232
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