Instructions to use latincy/latin-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use latincy/latin-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="latincy/latin-bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("latincy/latin-bert") model = AutoModel.from_pretrained("latincy/latin-bert") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "LatinBertTokenizer", | |
| "auto_map": { | |
| "AutoTokenizer": ["tokenization_latin_bert.LatinBertTokenizer", "tokenization_latin_bert_fast.LatinBertTokenizerFast"] | |
| }, | |
| "pad_token": "[PAD]", | |
| "unk_token": "[UNK]", | |
| "cls_token": "[CLS]", | |
| "sep_token": "[SEP]", | |
| "mask_token": "[MASK]", | |
| "eos_token": "<EOS>_", | |
| "do_lower_case": true, | |
| "model_max_length": 512 | |
| } | |