Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Instructions to use ghananlpcommunity/w2v-bert-2.0_ewe_2_farmerline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghananlpcommunity/w2v-bert-2.0_ewe_2_farmerline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ghananlpcommunity/w2v-bert-2.0_ewe_2_farmerline")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ghananlpcommunity/w2v-bert-2.0_ewe_2_farmerline") model = AutoModelForCTC.from_pretrained("ghananlpcommunity/w2v-bert-2.0_ewe_2_farmerline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d2b2785c3a8840e5c17faba2a39792f11b535a0516831e252cb593e70df546
- Size of remote file:
- 5.3 kB
- SHA256:
- b20ef53b08cb7356c4d5c9ef1b93435cf547ecfadc42bea62b76b1501480692c
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