Instructions to use khalidalt/all-mpnet-base-v2-tasky-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khalidalt/all-mpnet-base-v2-tasky-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khalidalt/all-mpnet-base-v2-tasky-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khalidalt/all-mpnet-base-v2-tasky-classification") model = AutoModelForSequenceClassification.from_pretrained("khalidalt/all-mpnet-base-v2-tasky-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b98c13373826b6a1d47cf01910ecb95e0887aff1d16bb539fc6ba07d260a27cc
- Size of remote file:
- 438 MB
- SHA256:
- 3d02072eb8c49e873d8f3a02584c1555b0b5e51da75d324e3e642771dcda7e5d
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