jsnfly
/

wav2vec2-large-xlsr-53-german-gpt2

Automatic Speech Recognition Transformers PyTorch

German speech-encoder-decoder hf-asr-leaderboard mozilla-foundation/common_voice_7_0 robust-speech-event Eval Results Inference Endpoints

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wav2vec2-large-xlsr-53-german-gpt2 / Dockerfile

jsnfly

initial model files

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	# Adapted from https://github.com/baaastijn/Dockerimages/tree/main/Hugginface_challenge_speech to use custom
	# Transformers branch.

	# Base image. Here we take one from OVHcloud with Jupyter inside and pytorch
	FROM ovhcom/ai-training-pytorch:latest

	# Install git, audio loader ang git lfs
	RUN apt-get update && \
	apt-get install -y git && \
	apt-get install -y libsndfile1-dev sox && \
	apt-get install -y git-lfs && \
	git lfs install

	# Install required python libraries. We install transformers from source to get latest version
	RUN pip install --upgrade pip && \
	pip install git+https://github.com/jsnfly/transformers.git@speech-challenge-experiments && \
	pip install git+https://github.com/huggingface/datasets && \
	pip install torchaudio librosa jiwer && \
	pip install pandas numpy nano gradio

	# Create a HOME dedicated to the OVHcloud user (42420:42420)
	RUN chown -R 42420:42420 /workspace
	ENV HOME /workspace
	WORKDIR /workspace

	# Copy a folder of example notebooks into another folder in remote workspace
	# COPY notebooks /workspace/