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:
- a24c3c86e777335a51bc4305e9d16b002ff4cae575ab85f68d434f06461212d4
- Size of remote file:
- 499 MB
- SHA256:
- fbebb63aa533e7d3b68b2e0d205287523fff83ab36e434003d55f855e699acc6
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