Fill-Mask
Transformers
PyTorch
English
roberta
smart-contract
web3
software-engineering
embedding
codebert
Instructions to use web3se/SmartBERT-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use web3se/SmartBERT-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="web3se/SmartBERT-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("web3se/SmartBERT-v3") model = AutoModelForMaskedLM.from_pretrained("web3se/SmartBERT-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ad682a032961c5a47bb5c5ef6a95c83b437cb23bf2b0ceabcfb714ba6d125c5
- Size of remote file:
- 4.02 kB
- SHA256:
- 3ea7957e5a22d9aa5348c6d1d7a5784773db403329029e673c3d9ea3bb2a1b34
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