Instructions to use dccuchile/albert-tiny-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/albert-tiny-spanish with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("dccuchile/albert-tiny-spanish") model = AutoModelForPreTraining.from_pretrained("dccuchile/albert-tiny-spanish") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "../albert_tiny", "tokenizer_class": "AlbertTokenizer"} |