Fill-Mask
Transformers
PyTorch
English
roberta
smart-contract
web3
software-engineering
embedding
codebert
Instructions to use web3se/SmartBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use web3se/SmartBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="web3se/SmartBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("web3se/SmartBERT") model = AutoModelForMaskedLM.from_pretrained("web3se/SmartBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c733e0aae272dde673a32c0f5bf89472d8d22cacf6166e8d3ecc89bd897a8657
- Size of remote file:
- 627 Bytes
- SHA256:
- db409df85fde5944d1d14ecd87f53fd0681c8c1a22a40a8f28d70ad4329caeee
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