Fill-Mask
Transformers
Safetensors
Ancient Greek (to 1453)
char_bert
ancient-greek
classical-philology
character-level
masked-diffusion
pretrained
custom_code
Instructions to use Ericu950/Stoicheia-doc_clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ericu950/Stoicheia-doc_clean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ericu950/Stoicheia-doc_clean", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ericu950/Stoicheia-doc_clean", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "gcb_doc_clean", | |
| "seed": 0, | |
| "attn": "flex", | |
| "compile": true, | |
| "seq_len": 8192, | |
| "micro_batch": 4, | |
| "grad_accum": 2, | |
| "lr": 0.0003, | |
| "wd": 0.1, | |
| "clip": 1.0, | |
| "warmup_frac": 0.04, | |
| "decay_frac": 0.4, | |
| "tier_weights": [ | |
| 1.0, | |
| 1.0, | |
| 0.3 | |
| ], | |
| "lam": 0.1, | |
| "total_steps": 120000, | |
| "hard_max_steps": 1000000, | |
| "num_workers": 16, | |
| "log_every": 20, | |
| "ckpt_every": 2000, | |
| "eval_every_ckpt": true, | |
| "eval_n": 256, | |
| "out_dir": "gcb_doc_clean", | |
| "anneal_phases": [ | |
| [ | |
| 0.5, | |
| [ | |
| 1.0, | |
| 1.0, | |
| 0.3 | |
| ] | |
| ], | |
| [ | |
| 0.9, | |
| [ | |
| 1.0, | |
| 1.0, | |
| 0.0 | |
| ] | |
| ], | |
| [ | |
| 1.0, | |
| [ | |
| 1.0, | |
| 0.0, | |
| 0.0 | |
| ] | |
| ] | |
| ], | |
| "_source_checkpoint": "best.pt", | |
| "_source_step": 116001 | |
| } |