Fill-Mask
Transformers
Safetensors
English
lewis_44m_bert
bert
encoder
masked-lm
rope
geglu
rmsnorm
pretrained-from-scratch
custom_code
Instructions to use vprojectx/Lewis-44M-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vprojectx/Lewis-44M-Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vprojectx/Lewis-44M-Bert", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("vprojectx/Lewis-44M-Bert", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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