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 optimizer.pt from sofiakris/feedback_evaluator: direct link, hf CLI and curl.
- Browser
- Download file 536 MB
-
https://huggingface.co/sofiakris/feedback_evaluator/resolve/main/optimizer.pt
- Command line
-
hf download hf://sofiakris/feedback_evaluator/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sofiakris/feedback_evaluator/resolve/main/optimizer.pt
536 MB
- Xet hash:
- 7d52aa7ad88604c19fe50f6437ed96332db7f6b4f005d2714d45f98b9c3e5b52
- Size of remote file:
- 536 MB
- SHA256:
- b7189beebcd45da3c166eec5a01989f12fbdfd3971a519058de96824ddeb2705
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