Instructions to use chitandaumen/api-malware-classification-model_e_30_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chitandaumen/api-malware-classification-model_e_30_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chitandaumen/api-malware-classification-model_e_30_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chitandaumen/api-malware-classification-model_e_30_2") model = AutoModelForSequenceClassification.from_pretrained("chitandaumen/api-malware-classification-model_e_30_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe8d680097e251228cef34b1285d4d3be21385eec1df62ac22c80676119716c7
- Size of remote file:
- 517 MB
- SHA256:
- eb43798e71fa2741f41d2b2bcd57476661cc0e4b38fd0fe81c2941399806235b
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