Instructions to use navteca/quora-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navteca/quora-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="navteca/quora-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("navteca/quora-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("navteca/quora-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3e8fc9a85ef07ccf327e017ae0b2e98d56483d743d86f9ad53e149d3cf981dd
- Size of remote file:
- 499 MB
- SHA256:
- a7e3f35ee5fa4bbd55ddee08e12bdbe19fcec65d978d5df08bccacd206964e4f
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