Add model weights and config

feature_extractor/preprocessor_config.json

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+{
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+  "feature_extractor_type": "ClapFeatureExtractor",
+  "feature_size": 64,
+  "fft_window_size": 1024,
+  "frequency_max": 14000,
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+  "hop_length": 480,
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+  "nb_frequency_bins": 513,
+  "nb_max_frames": 1000,
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+  "padding": "repeatpad",
+  "padding_side": "right",
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+  "processor_class": "ClapProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 48000,
+  "top_db": null,
+  "truncation": "rand_trunc"
+}

language_model/config.json

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+{
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+  "layer_norm_epsilon": 1e-05,
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+  "n_ctx": 1024,
+  "n_embd": 768,
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+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
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+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
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+      "max_length": 50
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+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50257
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language_model/pytorch_model.bin

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model_index.json

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+{
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+  "_diffusers_version": "0.20.0.dev0",
+  "feature_extractor": [
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+  "language_model": [
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+    "GPT2Model"
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+  "text_encoder": [
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+  "text_encoder_2": [
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+    "RobertaTokenizerFast"
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+  "unet": [
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+    "AudioLDM2UNet2DConditionModel"
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+  "vae": [
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+    "AutoencoderKL"
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+  "vocoder": [
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+    "SpeechT5HifiGan"
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+}

projection_model/config.json

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+{
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+  "_diffusers_version": "0.20.0.dev0",
+  "langauge_model_dim": 768,
+  "text_encoder_1_dim": 1024,
+  "text_encoder_dim": 512
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projection_model/diffusion_pytorch_model.bin

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scheduler/scheduler_config.json

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+  "timestep_spacing": "leading",
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text_encoder/config.json

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text_encoder_2/config.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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unet/config.json

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vae/config.json

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vocoder/config.json

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