Instructions to use breadberry-prime/ylabs-data-heidi-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breadberry-prime/ylabs-data-heidi-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="breadberry-prime/ylabs-data-heidi-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("breadberry-prime/ylabs-data-heidi-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("breadberry-prime/ylabs-data-heidi-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,376 Bytes
091d563 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | {
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"0": {
"content": "<|SOT|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<|EOT|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "<|pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"3": {
"content": "<|de-ch|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"4": {
"content": "<|transcribe|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"<|SOT|>",
"<|EOT|>",
"<|pad|>",
"<|de-ch|>",
"<|transcribe|>"
],
"bos_token": "<|SOT|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|EOT|>",
"errors": "replace",
"model_max_length": 1024,
"pad_token": "<|pad|>",
"processor_class": "WhisperProcessor",
"return_attention_mask": false,
"tokenizer_class": "WhisperTokenizer",
"unk_token": "<|SOT|>"
}
|