Instructions to use SaiprasadP/wav2vec2-seq-classification-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaiprasadP/wav2vec2-seq-classification-processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaiprasadP/wav2vec2-seq-classification-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from SaiprasadP/wav2vec2-seq-classification-processor: direct link, hf CLI and curl.
- Browser
- Download file 96 Bytes
-
https://huggingface.co/SaiprasadP/wav2vec2-seq-classification-processor/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://SaiprasadP/wav2vec2-seq-classification-processor/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/SaiprasadP/wav2vec2-seq-classification-processor/resolve/main/special_tokens_map.json
96 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |