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:
- e1ec186310b5bca72589da3302b1276513ca37c955b6e6c9a9fc8d4551ea23cd
- Size of remote file:
- 572 kB
- SHA256:
- 849a27540ba2bf8ed3070b088bb83f44f597d174c80b720fb120917c4dccb68d
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