Instructions to use raynardj/roberta-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raynardj/roberta-pubmed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raynardj/roberta-pubmed")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raynardj/roberta-pubmed") model = AutoModelForMaskedLM.from_pretrained("raynardj/roberta-pubmed") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c362cc1eede70834ec9d52cd875e912ff4840ec781d1f293db8f2776c48bbad5
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size 498818152
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