Instructions to use cestwc/roberta-base-bib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cestwc/roberta-base-bib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cestwc/roberta-base-bib")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cestwc/roberta-base-bib") model = AutoModelForSequenceClassification.from_pretrained("cestwc/roberta-base-bib") - 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 sha256:66f7340f4d610fee580579de2bdae4181ee0628091cdaf459fb6523862bd1f5f
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size 498612824
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