Other
Transformers
TensorBoard
Safetensors
English
diffusion_lm
fill-mask
custom_code
tiny-llm-ablation
from-scratch
diffusion
masked-language-modeling
Eval Results (legacy)
Instructions to use d0rj/diffusion-51M-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d0rj/diffusion-51M-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("d0rj/diffusion-51M-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from d0rj/diffusion-51M-base: direct link, hf CLI and curl.
- Browser
- Download file 2.32 MB
-
https://huggingface.co/d0rj/diffusion-51M-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://d0rj/diffusion-51M-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/d0rj/diffusion-51M-base/resolve/main/tokenizer.json
2.32 MB
File too large to display, you can check the raw version instead.