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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f69ea0ca4d18d9874593ae2a577665cb06c9e944a15239b38796570b0c250ddc
- Size of remote file:
- 536 MB
- SHA256:
- 58310bf874e6f989df72b7ec56fcf73a27581c64e8a93e36e7930cd9bf8378b8
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