Files
AMD-SHARK-Studio/tank
Ean Garvey a3654f33da Fix sourcing for canonical MiniLM shark_tank model artifacts. (#278)
* Fix generation of MiniLM artifacts.

* Fix miniLM output for validation. Xfail numerics failure on mpnet.

* Update distilbert-base-uncased_tf_test.py

* try-except for transition of minilm model
2022-08-17 23:03:47 -05:00
..
2022-07-29 09:34:50 -07:00
2022-06-12 21:53:59 -07:00
2022-08-04 13:14:57 -05:00

To run the fine tuning example, from the root SHARK directory, run:

IMPORTER=1 ./setup_venv.sh
source shark.venv/bin/activate
pip install jupyter tf-models-nightly tf-datasets
jupyter-notebook

if running from a google vm, you can view jupyter notebooks on your local system with:

gcloud compute ssh <YOUR_INSTANCE_DETAILS> --ssh-flag="-N -L localhost:8888:localhost:8888"