Instructions to use Vageesh1/malcious_smart_contract_bc_succ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vageesh1/malcious_smart_contract_bc_succ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vageesh1/malcious_smart_contract_bc_succ")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vageesh1/malcious_smart_contract_bc_succ") model = AutoModelForSequenceClassification.from_pretrained("Vageesh1/malcious_smart_contract_bc_succ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Vageesh1/malcious_smart_contract_bc_succ: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Vageesh1/malcious_smart_contract_bc_succ/resolve/main/tokenizer.json
- Command line
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hf download hf://Vageesh1/malcious_smart_contract_bc_succ/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Vageesh1/malcious_smart_contract_bc_succ/resolve/main/tokenizer.json
712 kB
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