Text Classification
Transformers
Safetensors
English
roberta
English
RoBERTa-base
Text Classification
Instructions to use oeg/RoBERTa-Repository-Proposal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oeg/RoBERTa-Repository-Proposal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oeg/RoBERTa-Repository-Proposal")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oeg/RoBERTa-Repository-Proposal") model = AutoModelForSequenceClassification.from_pretrained("oeg/RoBERTa-Repository-Proposal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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