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_config.json from d0rj/diffusion-51M-base: direct link, hf CLI and curl.
- Browser
- Download file 213 Bytes
-
https://huggingface.co/d0rj/diffusion-51M-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://d0rj/diffusion-51M-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/d0rj/diffusion-51M-base/resolve/main/tokenizer_config.json
213 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "is_local": true, | |
| "model_max_length": 2048, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |