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:
- f7a550d9fdca9d4ff4d7db48cbe527299170636611b8bbaafdac47cdfb1af128
- Size of remote file:
- 14.6 kB
- SHA256:
- 4071e5d23c5299e0ac70e6c0f1f63470851d6b4726043b1cafc970086b998bbf
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