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:
- e01e1813db02db5946a0f4b760ffd30a021bd1b52ec1ff3c1cc4c8f27a3fc018
- Size of remote file:
- 5.24 kB
- SHA256:
- 4ef18b36dc40694b1fb933f2cf0b5dc9b5d01bbf66e05c7f6cebe9771f19cb0f
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