Instructions to use JunYK/roberta-base-classification-Multi-Full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunYK/roberta-base-classification-Multi-Full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JunYK/roberta-base-classification-Multi-Full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JunYK/roberta-base-classification-Multi-Full") model = AutoModelForSequenceClassification.from_pretrained("JunYK/roberta-base-classification-Multi-Full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 911667834476ca34a7665d599e6deaefe032b62213c90cb1673433593b73314a
- Size of remote file:
- 443 MB
- SHA256:
- db39f7b02c8d70e0c4c8e25018d3e9f5b469ccc11d8c9cd4177ace124f2bc653
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