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
| { | |
| "module": "keras_hub.src.models.hrm_text.hrm_text_causal_lm", | |
| "class_name": "HrmTextCausalLM", | |
| "config": { | |
| "backbone": { | |
| "module": "keras_hub.src.models.hrm_text.hrm_text_backbone", | |
| "class_name": "HrmTextBackbone", | |
| "config": { | |
| "name": "hrm_text_backbone", | |
| "trainable": true, | |
| "dtype": { | |
| "module": "keras", | |
| "class_name": "DTypePolicy", | |
| "config": { | |
| "name": "bfloat16" | |
| }, | |
| "registered_name": null | |
| }, | |
| "vocabulary_size": 65536, | |
| "hidden_dim": 1536, | |
| "intermediate_dim": 4096, | |
| "num_layers_per_stack": 16, | |
| "num_attention_heads": 12, | |
| "head_dim": 128, | |
| "h_cycles": 2, | |
| "l_cycles": 3, | |
| "max_sequence_length": 4096, | |
| "rope_theta": 10000.0, | |
| "rms_norm_epsilon": 1e-06, | |
| "l_bp_cycles": [ | |
| 0, | |
| 3 | |
| ], | |
| "initializer_range": 0.025515518153991442, | |
| "embedding_scale": 39.191835884530846, | |
| "tie_word_embeddings": false, | |
| "rematerialization": true | |
| }, | |
| "registered_name": "keras_hub>HrmTextBackbone" | |
| }, | |
| "preprocessor": { | |
| "module": "keras_hub.src.models.hrm_text.hrm_text_causal_lm_preprocessor", | |
| "class_name": "HrmTextCausalLMPreprocessor", | |
| "config": { | |
| "name": "hrm_text_causal_lm_preprocessor", | |
| "trainable": true, | |
| "dtype": { | |
| "module": "keras", | |
| "class_name": "DTypePolicy", | |
| "config": { | |
| "name": "float32" | |
| }, | |
| "registered_name": null | |
| }, | |
| "tokenizer": { | |
| "module": "keras_hub.src.models.hrm_text.hrm_text_tokenizer", | |
| "class_name": "HrmTextTokenizer", | |
| "config": { | |
| "name": "hrm_text_tokenizer", | |
| "trainable": true, | |
| "dtype": { | |
| "module": "keras", | |
| "class_name": "DTypePolicy", | |
| "config": { | |
| "name": "int32" | |
| }, | |
| "registered_name": null | |
| }, | |
| "config_file": "tokenizer.json", | |
| "sequence_length": null, | |
| "add_prefix_space": false, | |
| "unsplittable_tokens": [ | |
| "<|im_end|>", | |
| "<|quad_end|>", | |
| "<|object_ref_end|>", | |
| "<|object_ref_start|>", | |
| "<|box_end|>", | |
| "<|endoftext|>", | |
| "<|im_start|>", | |
| "<|quad_start|>" | |
| ] | |
| }, | |
| "registered_name": "keras_hub>HrmTextTokenizer" | |
| }, | |
| "config_file": "preprocessor.json", | |
| "sequence_length": 4096, | |
| "add_start_token": true, | |
| "add_end_token": true | |
| }, | |
| "registered_name": "keras_hub>HrmTextCausalLMPreprocessor" | |
| }, | |
| "name": "hrm_text_causal_lm" | |
| }, | |
| "registered_name": "keras_hub>HrmTextCausalLM" | |
| } |