Instructions to use adyoi/indigo.tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adyoi/indigo.tf with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://adyoi/indigo.tf") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- id
license: mit
tags:
- text-generation
- from-scratch
- gpt
- transformer
- tensorflow
- keras
Indigo-TF
Versi TensorFlow/Keras dari proyek Indigo — model bahasa GPT kecil dari nol. Repo utama (PyTorch): D:\Documents\GitHub\Indigo.
Format checkpoint identik (.safetensors + _meta.json, penanda backend: tensorflow), sehingga tidak bisa tertukar dengan checkpoint PyTorch.
Pakai
pip install -r requirements.txt
python train.py --data data/sample.txt --steps 2000
python generate.py --prompt "Indigo"
Fitur setara repo utama: pembersihan teks, split validasi per-file, best-checkpoint, resume (--init-from), tokenizer char/bpe, cosine LR + warmup, pilihan --device.
Catatan: GPU TensorFlow di Windows native tidak didukung sejak TF 2.11 — gunakan WSL2/Colab/Linux.