Instructions to use uvegesistvan/roberta_large_pl_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uvegesistvan/roberta_large_pl_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uvegesistvan/roberta_large_pl_only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uvegesistvan/roberta_large_pl_only") model = AutoModelForSequenceClassification.from_pretrained("uvegesistvan/roberta_large_pl_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f2944b45b90fca6e7ef65603762108f38cef7083a44cd54d645d666d2d7fdc
- Size of remote file:
- 5.24 kB
- SHA256:
- b218aed1063e5eeb248859642ce46dc3690005cfad8237930658fa19f80c47d6
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