Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use austenem/arg-rating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use austenem/arg-rating with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="austenem/arg-rating")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("austenem/arg-rating") model = AutoModelForSequenceClassification.from_pretrained("austenem/arg-rating", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from austenem/arg-rating: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/austenem/arg-rating/resolve/main/training_args.bin
- Command line
-
hf download hf://austenem/arg-rating/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/austenem/arg-rating/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 1e88405bed4fa1851e357ef9af350fc3d935ec9431775f9ef345951af22a3c1f
- Size of remote file:
- 4.98 kB
- SHA256:
- 77280ee62e8706d98359c829aa4eccb8c0dd2dc33805f8671e377f3fa9e52e4d
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