Instructions to use lsnoo/russian_fairseq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsnoo/russian_fairseq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lsnoo/russian_fairseq")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lsnoo/russian_fairseq") model = AutoModelForCTC.from_pretrained("lsnoo/russian_fairseq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Faisrqe model
Browse files- checkpoint_best.pt +3 -0
checkpoint_best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fba7f212c192fe64fddfdb24f318698320ce1536b01dc2c3ec4d4ce52843482e
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size 3786201521
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