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
File size: 878 Bytes
ab083a7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"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"
}
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