Instructions to use uvegesistvan/roberta_large_pl_10_sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uvegesistvan/roberta_large_pl_10_sh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uvegesistvan/roberta_large_pl_10_sh")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uvegesistvan/roberta_large_pl_10_sh") model = AutoModelForSequenceClassification.from_pretrained("uvegesistvan/roberta_large_pl_10_sh") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f15af7d669e67a3a250820f13f42a21e0d6801059f1fa2ab9f55692a633c60e
- Size of remote file:
- 564 kB
- SHA256:
- c35e51e76dca0aa7ffb8abd530f65b56b5f012601e9e086625fa2b288cf947dd
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