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")# 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb76e39033bcbc9c18171a03e38cebcae8ef2c60f02f4c7a9850ef9961485d02
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size 437958648
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