Instructions to use chitandaumen/api-malware_v1.3_seq_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chitandaumen/api-malware_v1.3_seq_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chitandaumen/api-malware_v1.3_seq_512")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chitandaumen/api-malware_v1.3_seq_512") model = AutoModelForSequenceClassification.from_pretrained("chitandaumen/api-malware_v1.3_seq_512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9878d7aa37a5da7633ec23d1f37de3ae8904ef3eebbf63d66bc75f636cf1524
- Size of remote file:
- 517 MB
- SHA256:
- 6c8173281f3bbd9c74abb11a74c68db7d3411267f30edf30c62194605886cfbc
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