Instructions to use rajendrabaskota/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajendrabaskota/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajendrabaskota/tmp_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajendrabaskota/tmp_trainer") model = AutoModelForSequenceClassification.from_pretrained("rajendrabaskota/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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rajendrabaskota/hc3-wiki-domain-classification-roberta
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rajendrabaskota/hc3-wiki-domain-classification-roberta
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rajendrabaskota/tmp_trainer
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Upload RobertaForSequenceClassification
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hc3-wiki-domain-classification-roberta-copy
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initial commit
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