Instructions to use hf-tiny-model-private/tiny-random-MCTCTForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MCTCTForCTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-tiny-model-private/tiny-random-MCTCTForCTC")# Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("hf-tiny-model-private/tiny-random-MCTCTForCTC", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
d963114 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ef4a9a73a6e7aa3a87ca61da5dae3e63f2801ec0a86604f26934c405535fc45e
size 23273352
|