Instructions to use robinhad/data2vec-large-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robinhad/data2vec-large-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="robinhad/data2vec-large-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("robinhad/data2vec-large-uk") model = AutoModelForCTC.from_pretrained("robinhad/data2vec-large-uk") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
d2b2ff7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:244d90b0d3a3d2fcff5c85fe271012e4fd349606129cf1f4b4c9363876e997a8
size 1253412017
|