Fill-Mask
Transformers
Safetensors
Latin
xlm-roberta
medieval-latin
canon-law
domain-adaptation
legal-history
digital-humanities
Instructions to use mschonhardt/CanonBerta-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mschonhardt/CanonBerta-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mschonhardt/CanonBerta-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mschonhardt/CanonBerta-v1") model = AutoModelForMaskedLM.from_pretrained("mschonhardt/CanonBerta-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 288 Bytes
fdd1815 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"split_kind": "document-level STRATIFIED group-aware",
"train_sequences": 476522,
"val_sequences": 3933,
"len_train": {
"mean": 495.1799140438427,
"p50": 512.0,
"p95": 512.0
},
"len_val": {
"mean": 502.27739638952454,
"p50": 512.0,
"p95": 512.0
}
} |