Instructions to use hf-internal-testing/tiny-random-imagegpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-imagegpt with Transformers:
# Load model directly from transformers import AutoImageProcessor, ImageGPTForCausalImageModeling processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-imagegpt") model = ImageGPTForCausalImageModeling.from_pretrained("hf-internal-testing/tiny-random-imagegpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 672 Bytes
6d8dd15 8291cd3 6d8dd15 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"_name_or_path": "./",
"activation_function": "quick_gelu",
"architectures": [
"ImageGPTForCausalImageModeling"
],
"attn_pdrop": 0.1,
"bos_token_id": 50256,
"embd_pdrop": 0.1,
"eos_token_id": 50256,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "imagegpt",
"n_embd": 32,
"n_head": 8,
"n_inner": null,
"n_layer": 2,
"n_positions": 64,
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.1,
"scale_attn_by_inverse_layer_idx": false,
"scale_attn_weights": true,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.15.0.dev0",
"use_cache": true,
"vocab_size": 513
}
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