Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use rendchevi/roberta-base-pr_tqacd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rendchevi/roberta-base-pr_tqacd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rendchevi/roberta-base-pr_tqacd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rendchevi/roberta-base-pr_tqacd") model = AutoModelForSequenceClassification.from_pretrained("rendchevi/roberta-base-pr_tqacd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Training in progress, epoch 6
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Training in progress, epoch 1
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initial commit
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