Instructions to use DataMuncher-Labs/SC-500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataMuncher-Labs/SC-500k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DataMuncher-Labs/SC-500k")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DataMuncher-Labs/SC-500k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval.txt from DataMuncher-Labs/SC-500k: direct link, hf CLI and curl.
- Browser
- Download file 92 Bytes
-
https://huggingface.co/DataMuncher-Labs/SC-500k/resolve/main/eval.txt
- Command line
-
hf download hf://DataMuncher-Labs/SC-500k/eval.txt
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curl -L -o eval.txt https://huggingface.co/DataMuncher-Labs/SC-500k/resolve/main/eval.txt
92 Bytes
| acc=0.8651293961512939 | |
| prec=0.8305231301340251 | |
| rec=0.8202391118701964 | |
| f1=0.8253490870032223 | |