Run fastText binary
docker run --rm daangn/fasttext
Train skipgram model with local files
docker run --rm -v $INPUT_PATH:/input -v $OUPUT_DIR:/output daangn/fasttext skipgram \
-input /input -ouput /output
Train skipgram model with input files on s3 and upload the model to s3
docker run --rm daangn/fasttext skipgram \
-input $S3_INPUT_DIR_PATH -ouput $S3_OUTPUT_DIR_PATH
Content type
Image
Digest
Size
228.6 MB
Last updated
about 8 years ago
docker pull daangn/fasttext