Instructions to use breadberry-prime/ylabs-data-heidi-medium-entrypoint 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-entrypoint 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-entrypoint")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("breadberry-prime/ylabs-data-heidi-medium-entrypoint") model = AutoModelForSpeechSeq2Seq.from_pretrained("breadberry-prime/ylabs-data-heidi-medium-entrypoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 345 Bytes
0013ceb | 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 | {
"begin_suppress_tokens": [
2,
null,
0,
null,
null
],
"bos_token_id": 0,
"eos_token_id": 1,
"forced_decoder_ids": [
[
1,
3
],
[
2,
4
]
],
"pad_token_id": 2,
"suppress_tokens": [
2,
null,
0,
null,
null
],
"transformers_version": "4.46.0.dev0"
}
|