Automatic Speech Recognition
Transformers
Safetensors
English
Chinese
glmasr
text2text-generation
Eval Results
Instructions to use ConsHein/GLM-ASR-Nano-2512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConsHein/GLM-ASR-Nano-2512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ConsHein/GLM-ASR-Nano-2512")# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("ConsHein/GLM-ASR-Nano-2512") model = AutoModelForSeq2SeqLM.from_pretrained("ConsHein/GLM-ASR-Nano-2512") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": [ | |
| 59246, | |
| 59253, | |
| 59255 | |
| ], | |
| "transformers_version": "5.0.0.dev0" | |
| } | |