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MagicLuke
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Wav2Vec2-MyST

Transformers
Safetensors
English
wav2vec2
pretraining
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xet
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Transformers library
# Gated model: Login with a HF token with gated access permission
hf auth login
# Load model directly
from transformers import AutoProcessor, AutoModelForPreTraining

processor = AutoProcessor.from_pretrained("MagicLuke/Wav2Vec2-MyST")
model = AutoModelForPreTraining.from_pretrained("MagicLuke/Wav2Vec2-MyST")
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Model Description:

This is the wav2vec2-base model being pre-trained on the My Science Tutor (MyST 470h) dataset (from LDC).

The pertaining is done by using fairseq (wav2vec2_base_librispeech config).

The converge checkpoint is converted from PyTorch model to Hugging Face model by using a modified version of convertor script offered by Huggingface

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Safetensors
Model size
95M params
Tensor type
F32
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