Instructions to use VCNC/Auto-CNC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VCNC/Auto-CNC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VCNC/Auto-CNC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VCNC/Auto-CNC") model = AutoModelForSequenceClassification.from_pretrained("VCNC/Auto-CNC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cdf2c2303fe1f56b4d9c6dd044e086baf251132eda25c2f244686ae5221210c
- Size of remote file:
- 4.09 kB
- SHA256:
- 66b68f6b034934b4486a085f4057a79251b9ca663a352fef1f0bc9a48d978418
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