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:
- e3052837865ceb8b5ed90451487142e860959b1708d18d8d34c6ac7ad8ab79f2
- Size of remote file:
- 5.11 kB
- SHA256:
- e41b2491337464c14a65196a4286809dc0cfbc3e3635cdd3416dad4267ca51bd
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