Instructions to use babylm/ltgbert-100m-2024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use babylm/ltgbert-100m-2024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="babylm/ltgbert-100m-2024", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("babylm/ltgbert-100m-2024", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from babylm/ltgbert-100m-2024: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
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https://huggingface.co/babylm/ltgbert-100m-2024/resolve/main/README.md
- Command line
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hf download hf://babylm/ltgbert-100m-2024/README.md
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curl -L -o README.md https://huggingface.co/babylm/ltgbert-100m-2024/resolve/main/README.md
24 Bytes
metadata
license: mit