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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" 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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://pzarzycki/hrm-text-1b-code-tools-sft") - Notebooks
- Google Colab
- Kaggle
Download training/gpu.jsonl from pzarzycki/hrm-text-1b-code-tools-sft: direct link, hf CLI and curl.
- Browser
- Download file 947 kB
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https://huggingface.co/pzarzycki/hrm-text-1b-code-tools-sft/resolve/main/training/gpu.jsonl
- Command line
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hf download hf://pzarzycki/hrm-text-1b-code-tools-sft/training/gpu.jsonl
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curl -L -o gpu.jsonl https://huggingface.co/pzarzycki/hrm-text-1b-code-tools-sft/resolve/main/training/gpu.jsonl
947 kB
File too large to display, you can check the raw version instead.