Instructions to use ty1413/NetZeroTarget_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ty1413/NetZeroTarget_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ty1413/NetZeroTarget_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ty1413/NetZeroTarget_Classification") model = AutoModelForSequenceClassification.from_pretrained("ty1413/NetZeroTarget_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e543a41c66a719ee709c13991a6004632b97b3267164d9ce7aa6c0f7eb9cea71
- Size of remote file:
- 329 MB
- SHA256:
- 4aee41567ba0dcfe871c382df9e143e13ed471d90b75f99dfe2120982f2f5edd
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