Fill-Mask
Transformers
Safetensors
bert
masked-lm
bytecode
genetic-improvement
genetic-programming
mutation
Instructions to use lucapernice/BERT-Bytecode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucapernice/BERT-Bytecode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lucapernice/BERT-Bytecode")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lucapernice/BERT-Bytecode") model = AutoModelForMaskedLM.from_pretrained("lucapernice/BERT-Bytecode") - Notebooks
- Google Colab
- Kaggle
Add masked LM weights from 1M
Browse files- model.safetensors +1 -1
model.safetensors
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