Instructions to use navteca/quora-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navteca/quora-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="navteca/quora-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("navteca/quora-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("navteca/quora-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1876234a672835669c7d848f22ff9b948fe8287bbdd258d77cabf355e5ea3368
- Size of remote file:
- 1.42 GB
- SHA256:
- 6255235e35f928554c2a339d9cbfc3c34992670ca1b713ab56bac32079d8bb63
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