Instructions to use Osiris/neutral_non_neutral_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Osiris/neutral_non_neutral_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Osiris/neutral_non_neutral_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Osiris/neutral_non_neutral_classifier") model = AutoModelForSequenceClassification.from_pretrained("Osiris/neutral_non_neutral_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02fa1f3caf38df2ba6d42c55f88aa55618f6c981e3ba62688764e989c3756de6
- Size of remote file:
- 499 MB
- SHA256:
- bd3f017c2f9de9ed80a367a3952e3b6f4ea1821347fb92755cbb77b00457ce10
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