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
| { | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "max_length": 100, | |
| "pad_token_id": 2, | |
| "transformers_version": "4.46.0.dev0" | |
| } | |