Instructions to use pzarzycki/hrm-text-1b-code-tools-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pzarzycki/hrm-text-1b-code-tools-sft with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pzarzycki/hrm-text-1b-code-tools-sft") - KerasHub
How to use pzarzycki/hrm-text-1b-code-tools-sft with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://pzarzycki/hrm-text-1b-code-tools-sft") - Keras
How to use pzarzycki/hrm-text-1b-code-tools-sft with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pzarzycki/hrm-text-1b-code-tools-sft") - Notebooks
- Google Colab
- Kaggle
| { | |
| "gradient_accumulation_steps": 8, | |
| "micro_batch_size": 1, | |
| "microbatch_steps": 38248, | |
| "optimizer_steps": 4781, | |
| "train": { | |
| "requested_response_tokens": 10000000, | |
| "selected_response_tokens": 10000147, | |
| "selected_rows": 38248, | |
| "selected_serialized_tokens": 19650833, | |
| "shuffle_cycles_touched": 1, | |
| "source_rows": 1133817 | |
| } | |
| } | |