Fill-Mask
Transformers
PyTorch
Safetensors
English
photonbert
photon
hierarchical-transformer
masked-language-modeling
encoder
pretraining-from-scratch
glue
custom_code
Eval Results (legacy)
Instructions to use RikkaBotan/PhotonBERT-30M-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RikkaBotan/PhotonBERT-30M-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="RikkaBotan/PhotonBERT-30M-1B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RikkaBotan/PhotonBERT-30M-1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!