Instructions to use k-l-lambda/clip-text-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-l-lambda/clip-text-generator with Transformers:
# Load model directly from transformers import ClipTextGenerator model = ClipTextGenerator.from_pretrained("k-l-lambda/clip-text-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 543 Bytes
099ebfa 3c00660 099ebfa 3c00660 099ebfa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"architectures": [
"ClipTextGenerator"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"dropout": 0.0,
"eos_token_id": 2,
"hidden_act": "quick_gelu",
"hidden_size": 768,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 77,
"model_type": "clip_text_generator",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"torch_dtype": "float32",
"transformers_version": "4.21.2",
"vocab_size": 49408
}
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