Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Yasu-Okuda/YataGarasu-TextClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yasu-Okuda/YataGarasu-TextClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yasu-Okuda/YataGarasu-TextClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yasu-Okuda/YataGarasu-TextClassification") model = AutoModelForSequenceClassification.from_pretrained("Yasu-Okuda/YataGarasu-TextClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4986a656734e731536789c778a47ac3bdeec6fbef5f636be7986239053c59d00
- Size of remote file:
- 5.27 kB
- SHA256:
- dbac17576aea2797b59a5a371e413dd28e359b480b0070c36e7d65ff07beb830
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