Instructions to use q-future/Compare2Score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use q-future/Compare2Score with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="q-future/Compare2Score", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("q-future/Compare2Score", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from q-future/Compare2Score: direct link, hf CLI and curl.
- Browser
- Download file 6.14 kB
-
https://huggingface.co/q-future/Compare2Score/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://q-future/Compare2Score@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/q-future/Compare2Score/resolve/refs%2Fpr%2F1/training_args.bin
6.14 kB
- Xet hash:
- 2d6007e6b98fad66aae633cf8df284b0859929a8539e20e187a2054a615f1b24
- Size of remote file:
- 6.14 kB
- SHA256:
- 70ac97dd15ebf11dade96665566359c755aab2a8dc53b0789f859f66c2996c69
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