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README.md

@@ -1,16 +1,8 @@
 ---
-license: mit
-datasets:
-- openai/mrcr
-language:
-- ru
-metrics:
-- accuracy
-base_model:
-- Xenova/t5-small-awesome-text-to-sql
-new_version: Xenova/t5-small-awesome-text-to-sql
-pipeline_tag: text2text-generation
+base_model: MBZUAI/LaMini-T5-61M
 library_name: transformers.js
-tags:
-- code
----
+---
+
+https://huggingface.co/MBZUAI/LaMini-T5-61M with ONNX weights to be compatible with Transformers.js.
+
+Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

config.json

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+{
+  "_name_or_path": "MBZUAI/LaMini-T5-61M",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 6,
+  "num_heads": 8,
+  "num_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.0.dev0"
+}

gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
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+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.onnx filter=lfs diff=lfs merge=lfs -text
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quantize_config.json

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+{
+    "per_channel": true,
+    "reduce_range": true,
+    "per_model_config": {
+        "decoder_model": {
+            "op_types": [
+                "Pow",
+                "Cast",
+                "Sub",
+                "Concat",
+                "ReduceMean",
+                "Unsqueeze",
+                "Shape",
+                "Div",
+                "ConstantOfShape",
+                "Log",
+                "Constant",
+                "Sqrt",
+                "Min",
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+                "Neg",
+                "Transpose",
+                "Reshape",
+                "Range",
+                "Tile",
+                "Mul",
+                "Where",
+                "Relu",
+                "Softmax",
+                "MatMul",
+                "Gather",
+                "Less",
+                "Expand",
+                "Add"
+            ],
+            "weight_type": "QInt8"
+        },
+        "encoder_model": {
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+                "Pow",
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+        },
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+        "decoder_with_past_model": {
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+                "Gather",
+                "Less",
+                "Expand",
+                "Add"
+            ],
+            "weight_type": "QInt8"
+        }
+    }
+}

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tokenizer_config.json

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+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "max_length": 512,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "stride": 0,
+  "tokenizer_class": "T5Tokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}