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
| { | |
| "examples_seen": 38248, | |
| "final_preset": "preset/", | |
| "final_training_loss": 0.03527289628982544, | |
| "finished_at": "2026-07-25T15:49:24.079371+00:00", | |
| "format": "hrm-sft-pilot-completion-v1", | |
| "metrics_segment": "pilot-completed-metrics.jsonl", | |
| "metrics_segment_lines": 3826, | |
| "metrics_segment_sha256": "fbbb63a26548fe2b7e1cc49e13b9e1fe3b037f4eb40764d513ff60112ad86f52", | |
| "microbatch_steps": 38248, | |
| "mid_run_checkpoint": "checkpoint-00020000.keras", | |
| "post_completion_stream_present": true, | |
| "post_completion_stream_reason": "container restarted after successful completion; pod stopped before second cycle was used", | |
| "raw_metrics_stream": "metrics.jsonl", | |
| "response_tokens_seen": 10000147, | |
| "run_id": "hrm-stage-a-pilot-20260724-restart1", | |
| "serialized_tokens_seen": 19650833, | |
| "started_at": "2026-07-25T01:05:36.032965+00:00", | |
| "status": "completed" | |
| } | |