Instructions to use zsqzz/opt-lmsys-class-average with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zsqzz/opt-lmsys-class-average with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zsqzz/opt-lmsys-class-average")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zsqzz/opt-lmsys-class-average") model = AutoModelForSequenceClassification.from_pretrained("zsqzz/opt-lmsys-class-average", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download usage_config.json from zsqzz/opt-lmsys-class-average: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
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https://huggingface.co/zsqzz/opt-lmsys-class-average/resolve/main/usage_config.json
- Command line
-
hf download hf://zsqzz/opt-lmsys-class-average/usage_config.json
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curl -L -o usage_config.json https://huggingface.co/zsqzz/opt-lmsys-class-average/resolve/main/usage_config.json
286 Bytes
| {"model": {"pred_model": "/mnt/zsq/models--facebook--opt-125m/snapshots/27dcfa74d334bc871f3234de431e71c6eeba5dd6", "num_labels": 10, "mtype": "class", "activation": null, "path": "MODEL/results/opt-llama3\u2014lmsys-class-average/finetuned", "max_length": 2047, "max_batch_size": 1000}} |