Automatic Speech Recognition
Transformers
Safetensors
wav2vec2-bert
Generated from Trainer
Eval Results (legacy)
Instructions to use web2savar/w2v-fine-tune-test-no-ws2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use web2savar/w2v-fine-tune-test-no-ws2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="web2savar/w2v-fine-tune-test-no-ws2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("web2savar/w2v-fine-tune-test-no-ws2") model = AutoModelForCTC.from_pretrained("web2savar/w2v-fine-tune-test-no-ws2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d86804a5f8ba440251500675563dea3ab777330de3bbddceb08eca969c0cc764
- Size of remote file:
- 4.73 kB
- SHA256:
- e4ed7d55e0f8ecd101fec25d9447f89d70c844168ee9829fecbbd812c4e913b0
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