Instructions to use ruaccent/RUAccent-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruaccent/RUAccent-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ruaccent/RUAccent-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ruaccent/RUAccent-encoder") model = AutoModel.from_pretrained("ruaccent/RUAccent-encoder") - Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "CharacterTokenizer", | |
| "vocab_file": "vocab.json", | |
| "model_max_length": 2048, | |
| "size": 658 | |
| } |