Instructions to use Tron21/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tron21/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tron21/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tron21/roberta-base") model = AutoModelForSequenceClassification.from_pretrained("Tron21/roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9ebdc87ec5dcbf2029ebaaed4aebc239feb85de44143cf535ebeb635ad3cf9c
- Size of remote file:
- 134 Bytes
- SHA256:
- 31b53a1e8a6e0ffa532ede724d7d53bf9438834c91bad1e704d77fcc28fa2f45
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