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 evaluation/requirements.txt from d0rj/diffusion-51M-base: direct link, hf CLI and curl.
- Browser
- Download file 46 Bytes
-
https://huggingface.co/d0rj/diffusion-51M-base/resolve/main/evaluation/requirements.txt
- Command line
-
hf download hf://d0rj/diffusion-51M-base/evaluation/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/d0rj/diffusion-51M-base/resolve/main/evaluation/requirements.txt
46 Bytes
| lm_eval==0.4.12 | |
| tensorboard>=2.18 | |
| datasets>=4 | |