Instructions to use chitandaumen/api-malware_classification-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chitandaumen/api-malware_classification-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chitandaumen/api-malware_classification-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chitandaumen/api-malware_classification-bert") model = AutoModelForSequenceClassification.from_pretrained("chitandaumen/api-malware_classification-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f844978a75ade38540d38d85b436e8ad50f9921dd9c1c6c8d2fd989f1963f215
- Size of remote file:
- 433 MB
- SHA256:
- 70f73cc46db2d24435bdcd2ec5f25204f549c67e23237070bfa819753b501015
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