Instructions to use SuiGio/roberta_pubmesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SuiGio/roberta_pubmesh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SuiGio/roberta_pubmesh")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SuiGio/roberta_pubmesh") model = AutoModelForSequenceClassification.from_pretrained("SuiGio/roberta_pubmesh") - 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 sha256:56ce9a1a935e69432500db262889d7fd04ae0bcbef27d417f8543a5c30445853
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size 328533392
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