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:
- 3105d9e9e6432c73d7ce189dbb27cf9b3c75b426d7b60da250002cf1abc8cde0
- Size of remote file:
- 4.98 kB
- SHA256:
- 83f6863155cb31bdb6f068fa0f217ea994bcc7e51ebd8434dbdda563b2c5b296
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