Instructions to use dccuchile/bert-base-spanish-wwm-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/bert-base-spanish-wwm-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dccuchile/bert-base-spanish-wwm-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dccuchile/bert-base-spanish-wwm-cased") model = AutoModelForMaskedLM.from_pretrained("dccuchile/bert-base-spanish-wwm-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 364 Bytes
48e7313 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"do_lower_case": false,
"unk_token": "[UNK]",
"sep_token": "[SEP]",
"pad_token": "[PAD]",
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"tokenize_chinese_chars": true,
"strip_accents": false,
"name_or_path": "./bert-base-spanish-wwm-cased",
"do_basic_tokenize": true,
"never_split": null,
"model_max_length": 512
} |