Instructions to use chitandaumen/api-malware_classificationv1.3-seq1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chitandaumen/api-malware_classificationv1.3-seq1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chitandaumen/api-malware_classificationv1.3-seq1024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chitandaumen/api-malware_classificationv1.3-seq1024") model = AutoModelForSequenceClassification.from_pretrained("chitandaumen/api-malware_classificationv1.3-seq1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a166e9760044f9976adc5f3f53bd5bb021b5feeb6ba1db288f654555b4f61283
- Size of remote file:
- 517 MB
- SHA256:
- d0b7af38d7beefc05557148ecd35b05ce86e1253ce8d6b10005415ac1cc656ef
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