Mirror from hf-internal-testing/tiny-random-language_perceiver

.gitattributes

@@ -2,7 +2,6 @@
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config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "hf-internal-testing/tiny-random-language_perceiver",
+  "architectures": [
+    "PerceiverForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "audio_samples_per_frame": 1920,
+  "cross_attention_shape_for_attention": "kv",
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+  "d_model": 16,
+  "hidden_act": "gelu",
+  "image_size": 56,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "perceiver",
+  "num_blocks": 1,
+  "num_cross_attention_heads": 2,
+  "num_frames": 16,
+  "num_latents": 10,
+  "num_self_attends_per_block": 2,
+  "num_self_attention_heads": 2,
+  "output_shape": [
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+    224,
+    224
+  ],
+  "qk_channels": 256,
+  "samples_per_patch": 16,
+  "self_attention_widening_factor": 1,
+  "torch_dtype": "float32",
+  "train_size": [
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+    496
+  ],
+  "transformers_version": "4.22.0.dev0",
+  "use_query_residual": true,
+  "v_channels": 16,
+  "vocab_size": 262
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
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+    "content": "[BOS]",
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+    "normalized": true,
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+  "name_or_path": "deepmind/language-perceiver",
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+  "tokenizer_class": "PerceiverTokenizer"
+}