Instructions to use gianma/classifierEUtopLevelRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelRoberta") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (1e367b440a4f5fc2b37102f5b15ffff902bfd0fa) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e67f023
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Upload RobertaForSequenceClassification
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Upload tokenizer
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initial commit
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