Instructions to use Neroism8422/Text_Classification_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neroism8422/Text_Classification_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Neroism8422/Text_Classification_100")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Neroism8422/Text_Classification_100") model = AutoModelForSequenceClassification.from_pretrained("Neroism8422/Text_Classification_100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 737de4661d44a1cf15b77e9cfdbcd1ea10839f761b75728572f39c5e46c67e8a
- Size of remote file:
- 5.11 kB
- SHA256:
- 559e3fac77c73707446a5ac7243ba664c6d47038150a933962a611a499fefe6f
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