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")# pip install -U transformers accelerate # 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
Download generation_config.json from breadberry-prime/ylabs-data-heidi-medium-entrypoint: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/breadberry-prime/ylabs-data-heidi-medium-entrypoint/resolve/main/generation_config.json
- Command line
-
hf download hf://breadberry-prime/ylabs-data-heidi-medium-entrypoint/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/breadberry-prime/ylabs-data-heidi-medium-entrypoint/resolve/main/generation_config.json
345 Bytes
| { | |
| "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" | |
| } | |