Instructions to use drexalt/NeoBERT-RetroMAE-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drexalt/NeoBERT-RetroMAE-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="drexalt/NeoBERT-RetroMAE-pretrain", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("drexalt/NeoBERT-RetroMAE-pretrain", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from drexalt/NeoBERT-RetroMAE-pretrain: direct link, hf CLI and curl.
- Browser
- Download file 887 MB
-
https://huggingface.co/drexalt/NeoBERT-RetroMAE-pretrain/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://drexalt/NeoBERT-RetroMAE-pretrain/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/drexalt/NeoBERT-RetroMAE-pretrain/resolve/main/pytorch_model.bin
887 MB
- Xet hash:
- dd7a1d2038de3bd0c1b53fba96cbf865fbe0735283f9be647e64467e9857022c
- Size of remote file:
- 887 MB
- SHA256:
- ea092f178a0adf71a5a6840a77ec4cbd123cc32e81546549c61d95ad77534fdd
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