Instructions to use FilipT/ltg-babylm-bec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FilipT/ltg-babylm-bec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FilipT/ltg-babylm-bec", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("FilipT/ltg-babylm-bec", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update config.json
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Add custom LtgBert implementation for standalone use
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Add matching tokenizer
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Add fine-tuned model
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initial commit
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