Instructions to use hf-tiny-model-private/tiny-random-Speech2TextModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-Speech2TextModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-Speech2TextModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Speech2TextModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-Speech2TextModel") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "do_lower_case": true, | |
| "do_upper_case": false, | |
| "eos_token": "</s>", | |
| "lang_codes": null, | |
| "model_max_length": 20, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "/home/suraj/.cache/huggingface/transformers/f39f1499e9c4d2b3e803e3cad8a31c4cf3e626e1c69197d4cd6921e5c07007f9.9d6cd81ef646692fb1c169a880161ea1cb95f49694f220aced9b704b457e51dd", | |
| "tgt_lang": null, | |
| "tokenizer_class": "Speech2TextTokenizer", | |
| "tokenizer_file": null, | |
| "unk_token": "<unk>" | |
| } | |