Instructions to use hf-internal-testing/tiny-random-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-wav2vec2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-wav2vec2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "|", "return_attention_mask": false, "do_normalize": true, "model_max_length": 9223372036854775807, "special_tokens_map_file": "/home/lysandre/.cache/huggingface/transformers/208086b2429fa2ba5b196810c1bcd7d61e2c8d4afd65d05d0670096d735fd5bb.9d6cd81ef646692fb1c169a880161ea1cb95f49694f220aced9b704b457e51dd", "tokenizer_file": null, "name_or_path": "facebook/wav2vec2-base-960h", "tokenizer_class": "Wav2Vec2CTCTokenizer"} |