Instructions to use hf-internal-testing/processor_with_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/processor_with_lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/processor_with_lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/processor_with_lm") model = AutoModelForCTC.from_pretrained("hf-internal-testing/processor_with_lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Merge branch 'main' of https://huggingface.co/hf-internal-testing/processor_with_lm into main
5477bda -
fit vocab_size
749ecd7 -
Update preprocessor_config.json
02127b7 -
up
48744e9
-
Merge branch 'main' of https://huggingface.co/hf-internal-testing/processor_with_lm
1d7fc24 -
up
55e8669 -
Update README.md
f16170c -
Create README.md
87b66e4 -
up
70f0f84 -
fix attributes
03628f2 -
initial commit
6bc37bd