Token Classification
Transformers
Safetensors
Ancient Greek (to 1453)
char_bert_meter
ancient-greek
classical-philology
character-level
masked-diffusion
macronization
custom_code
Instructions to use Ericu950/Stoicheia-macronizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ericu950/Stoicheia-macronizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ericu950/Stoicheia-macronizer", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ericu950/Stoicheia-macronizer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 486 Bytes
060f099 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"n_alpha": 24,
"mask_id": 24,
"blank_id": 25,
"pad_id": 26,
"n_char_ids": 27,
"n_boundary": 4,
"n_dia": 49,
"n_punct": 7,
"d_model": 1024,
"n_heads": 16,
"depth": 32,
"char_window": 256,
"attn_impl": "sdpa",
"qk_norm": true,
"use_cap": true,
"scalar_mix": true,
"model_type": "char_bert_meter",
"auto_map": {
"AutoConfig": "configuration_char_bert_meter.CharBertMeterConfig",
"AutoModel": "modeling_char_bert_meter.CharBertMeterModel"
}
} |