Instructions to use voidful/phoneme_bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/phoneme_bart_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/phoneme_bart_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidful/phoneme_bart_base") model = AutoModel.from_pretrained("voidful/phoneme_bart_base") - Notebooks
- Google Colab
- Kaggle
use Wav2Vec2PhonemeCTCTokenizer tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "word_delimiter_token": " ", "phonemizer_lang": "en-us", "phonemizer_backend": "espeak", "do_lower_case": true, "special_tokens_map_file": "./special_tokens_map.json", "tokenizer_file": "./vocab.json", "name_or_path": "voidful/phoneme_bart_base", "tokenizer_class": "Wav2Vec2PhonemeCTCTokenizer"}
|