Instructions to use sofiakris/feedback_evaluator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofiakris/feedback_evaluator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofiakris/feedback_evaluator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofiakris/feedback_evaluator") model = AutoModelForSequenceClassification.from_pretrained("sofiakris/feedback_evaluator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from sofiakris/feedback_evaluator: direct link, hf CLI and curl.
- Browser
- Download file 124 Bytes
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https://huggingface.co/sofiakris/feedback_evaluator/resolve/main/README.md
- Command line
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hf download hf://sofiakris/feedback_evaluator/README.md
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curl -L -o README.md https://huggingface.co/sofiakris/feedback_evaluator/resolve/main/README.md
124 Bytes
| pipeline_tag: text-classification | |
| library_name: transformers | |
| base_model: distilbert-base-uncased | |
| license: apache-2.0 | |