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
Download training_args.bin from sofiakris/feedback_evaluator: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/sofiakris/feedback_evaluator/resolve/main/training_args.bin
- Command line
-
hf download hf://sofiakris/feedback_evaluator/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/sofiakris/feedback_evaluator/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 098a340542a1acc9df87845c13d2a9fecae429bd34316cebb30bec56134cde61
- Size of remote file:
- 5.71 kB
- SHA256:
- 4526d5003b0c4afbe7571e8f21db2f8331eb10f0d2c55963f08ea7a0630de03c
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