Instructions to use Winmodel/Mlukebasewithpaperparameter_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Winmodel/Mlukebasewithpaperparameter_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Winmodel/Mlukebasewithpaperparameter_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Winmodel/Mlukebasewithpaperparameter_v2") model = AutoModelForSequenceClassification.from_pretrained("Winmodel/Mlukebasewithpaperparameter_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 040a6b07b3fbc5ccebbac4f80965dcb0ca4f5a28fbb703691a2f273eb68497ec
- Size of remote file:
- 2.34 GB
- SHA256:
- 06bd634c92af9352456f5e0430f831aeb6d6befedab6438751f3b9155999954b
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