Instructions to use HawkLabofficial/HawkGPT-v0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use HawkLabofficial/HawkGPT-v0.5 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://HawkLabofficial/HawkGPT-v0.5") - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "epoch": 1, | |
| "loss": 0.06630600347345424, | |
| "time": 1243.2, | |
| "throughput": 69898 | |
| }, | |
| { | |
| "epoch": 1, | |
| "loss": 0.05735094414926998, | |
| "time": 1506.4, | |
| "throughput": 57687 | |
| }, | |
| { | |
| "epoch": 2, | |
| "loss": 0.056176978887371706, | |
| "time": 941.5, | |
| "throughput": 92300 | |
| }, | |
| { | |
| "epoch": 3, | |
| "loss": 0.05393293581642568, | |
| "time": 1506.3, | |
| "throughput": 57690 | |
| }, | |
| { | |
| "epoch": 4, | |
| "loss": 0.052650025025201594, | |
| "time": 686.5, | |
| "throughput": 126585 | |
| }, | |
| { | |
| "epoch": 5, | |
| "loss": 0.05195919232575465, | |
| "time": 554.7, | |
| "throughput": 156661 | |
| }, | |
| { | |
| "epoch": 6, | |
| "loss": 0.051186023292945394, | |
| "time": 476.0, | |
| "throughput": 182563 | |
| }, | |
| { | |
| "epoch": 7, | |
| "loss": 0.05101447156825457, | |
| "time": 490.4, | |
| "throughput": 177197 | |
| }, | |
| { | |
| "epoch": 8, | |
| "loss": 0.05089946147952816, | |
| "time": 510.0, | |
| "throughput": 170407 | |
| }, | |
| { | |
| "epoch": 9, | |
| "loss": 0.05066906466875991, | |
| "time": 573.0, | |
| "throughput": 151655 | |
| }, | |
| { | |
| "epoch": 10, | |
| "loss": 0.051203346827043375, | |
| "time": 241.2, | |
| "throughput": 360273 | |
| }, | |
| { | |
| "epoch": 11, | |
| "loss": 0.04970142898798764, | |
| "time": 565.1, | |
| "throughput": 153783 | |
| }, | |
| { | |
| "epoch": 12, | |
| "loss": 0.04852437856080373, | |
| "time": 570.0, | |
| "throughput": 152453 | |
| }, | |
| { | |
| "epoch": 13, | |
| "loss": 0.0478703683901713, | |
| "time": 567.5, | |
| "throughput": 153123 | |
| } | |
| ] |