Automatic Speech Recognition
Transformers
Safetensors
PyTorch
English
wav2vec2
asr
audio
speech
opensource
Instructions to use leomino/wav2vec2-tellmate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leomino/wav2vec2-tellmate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="leomino/wav2vec2-tellmate")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("leomino/wav2vec2-tellmate") model = AutoModelForCTC.from_pretrained("leomino/wav2vec2-tellmate") - Notebooks
- Google Colab
- Kaggle
Model Card for Wav2Vec2-Tellmate
Wav2Vec2-Tellmate is a speech recognition model, fine-tuned for chess coordinates.
Model Details
wav2vec2-tellmate was trained on nearly 2,500 chess coordinate audio files (in english), to ensure fast and reliable chess coordinate recognition. Note: It is not been trained on chess moves (yet) nor other chess terminology. Just the coordinates themselves.
- Developed by: Leonardo Palomino
- Model type: Automatic Speech Recognition (ASR)
- Language(s) (NLP): English
- License: Apache license 2.0
- Finetuned from model: facebook/wav2-vec-2-base (https://huggingface.co/facebook/wav2vec2-base)
- Downloads last month
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Model tree for leomino/wav2vec2-tellmate
Base model
facebook/wav2vec2-base