Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use FareehaAly/fator-argument-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FareehaAly/fator-argument-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FareehaAly/fator-argument-quality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FareehaAly/fator-argument-quality") model = AutoModelForSequenceClassification.from_pretrained("FareehaAly/fator-argument-quality") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d32637f09412605fe6d5963820a6c2c322c935fa30c7fa84cead049eeaae5892
- Size of remote file:
- 5.2 kB
- SHA256:
- d152bb861c8fb833ab749621162d56150e39ca159acc1d1569e6431e2b7e8e01
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