Recomended repo not working

git checkout before_new_augs2

Downloading data/lm/kenlm.scorer (953 MB)
Error downloading object: data/lm/kenlm.scorer (d0cf926): Smudge error: Error downloading data/lm/kenlm.scorer (d0cf926ab9cab54a8a7d70003b931b2d62ebd9105ed392d1ec9c840029867799): batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.

Errors logged to /media/pc1/storage/speechRecognition/DeepSpeech/.git/lfs/logs/20201207T123133.983751277.log
Use `git lfs logs last` to view the log.
error: filtro externo 'git-lfs filter-process' falló
fatal: data/lm/kenlm.scorer: filtro smudge lfs falló

Fix, download manually: https://github.com/DanBmh/DeepSpeech/archive/before_new_augs2.zip

But now have that other error:

Step 1/19 : FROM nvcr.io/nvidia/tensorflow:20.03-tf1-py3
 ---> 8b2abbd886f0
Step 2/19 : ARG DEBIAN_FRONTEND=noninteractive
 ---> Using cache
 ---> ebdbcfa71355
Step 3/19 : ENV DEEPSPEECH_REPO=https://github.com/mozilla/DeepSpeech.git
 ---> Using cache
 ---> 54bff2468283
Step 4/19 : ENV DEEPSPEECH_SHA=188a6f2c1ee53dc79acf8abceaf729b5f9a05e7a
 ---> Using cache
 ---> 8bb2dfbbba27
Step 5/19 : RUN apt-get update && apt-get install -y --no-install-recommends         apt-utils         bash-completion         build-essential         curl         git         git-lfs         libbz2-dev         locales         python3-venv         unzip         wget
 ---> Using cache
 ---> bd8a4b23a2d5
Step 6/19 : RUN apt-get purge -y python3-xdg
 ---> Using cache
 ---> 86bcaf75e9c7
Step 7/19 : RUN apt-get install -y --no-install-recommends libopus0 libsndfile1
 ---> Using cache
 ---> 40ce3213de36
Step 8/19 : WORKDIR /
 ---> Using cache
 ---> 62e68733d4c3
Step 9/19 : RUN wget https://github.com/mozilla/DeepSpeech/archive/${DEEPSPEECH_SHA}.zip &&     unzip ${DEEPSPEECH_SHA}.zip &&     mv DeepSpeech-${DEEPSPEECH_SHA} DeepSpeech &&     rm -rf ${DEEPSPEECH_SHA}.zip
 ---> Using cache
 ---> baf62ea93d28
Step 10/19 : WORKDIR /DeepSpeech
 ---> Using cache
 ---> dc0187885d2d
Step 11/19 : RUN python3 -m pip install --upgrade pip
 ---> Using cache
 ---> 21685e35db36
Step 12/19 : RUN python3 -m pip install --upgrade pip==20.0.2 wheel==0.34.2 setuptools==46.1.3
 ---> Using cache
 ---> 9016e538d89a
Step 13/19 : RUN DS_NOTENSORFLOW=y python3 -m pip install --upgrade -e .
 ---> Using cache
 ---> 794059d1b37e
Step 14/19 : RUN python3 util/taskcluster.py --source tensorflow --branch r1.15         --artifact convert_graphdef_memmapped_format  --target .
 ---> Using cache
 ---> daf88e0df8d8
Step 15/19 : RUN chmod +x convert_graphdef_memmapped_format
 ---> Using cache
 ---> ea055aa3fc53
Step 16/19 : WORKDIR /DeepSpeech/native_client
 ---> Using cache
 ---> 3ae106f8efe6
Step 17/19 : RUN rm -rf kenlm && 	git clone https://github.com/kpu/kenlm && 	cd kenlm && 	git checkout 87e85e66c99ceff1fab2500a7c60c01da7315eec && 	mkdir -p build && 	cd build && 	cmake .. && 	make -j $(nproc)
 ---> Using cache
 ---> 11e856903f06
Step 18/19 : WORKDIR /DeepSpeech/
 ---> Using cache
 ---> f679e0c08ba9
Step 19/19 : RUN ./bin/run-ldc93s1.sh
 ---> Running in 1213e1f5649b
+ '[' '!' -f DeepSpeech.py ']'
+ '[' '!' -f data/ldc93s1/ldc93s1.csv ']'
+ echo 'Downloading and preprocessing LDC93S1 example data, saving in ./data/ldc93s1.'
+ python -u bin/import_ldc93s1.py ./data/ldc93s1
Downloading and preprocessing LDC93S1 example data, saving in ./data/ldc93s1.
No path "./data/ldc93s1" - creating ...
No archive "./data/ldc93s1/LDC93S1.wav" - downloading...
Progress |                                                     | N/A% completed
No archive "./data/ldc93s1/LDC93S1.txt" - downloading...
Progress |                                                     | N/A% completed
+ '[' -d '' ']'
++ python -c 'from xdg import BaseDirectory as xdg; print(xdg.save_data_path("deepspeech/ldc93s1"))'
+ checkpoint_dir=/root/.local/share/deepspeech/ldc93s1
+ export CUDA_VISIBLE_DEVICES=0
+ CUDA_VISIBLE_DEVICES=0
+ python -u DeepSpeech.py --noshow_progressbar --train_files data/ldc93s1/ldc93s1.csv --test_files data/ldc93s1/ldc93s1.csv --train_batch_size 1 --test_batch_size 1 --n_hidden 100 --epochs 200 --checkpoint_dir /root/.local/share/deepspeech/ldc93s1
Traceback (most recent call last):
  File "DeepSpeech.py", line 12, in <module>
    ds_train.run_script()
  File "/DeepSpeech/training/deepspeech_training/train.py", line 968, in run_script
    absl.app.run(main)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
    _run_main(main, args)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
    sys.exit(main(argv))
  File "/DeepSpeech/training/deepspeech_training/train.py", line 935, in main
    early_training_checks()
  File "/DeepSpeech/training/deepspeech_training/train.py", line 920, in early_training_checks
    FLAGS.scorer_path, Config.alphabet)
  File "/usr/local/lib/python3.6/dist-packages/ds_ctcdecoder/__init__.py", line 42, in __init__
    raise ValueError('Scorer initialization failed with error code {}'.format(err))
ValueError: Scorer initialization failed with error code 8198
swig/python detected a memory leak of type 'Alphabet *', no destructor found.
The command '/bin/sh -c ./bin/run-ldc93s1.sh' returned a non-zero code: 1
Edited by Pablo