commit files to HF hub

config.json

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+{
+  "_name_or_path": "DhaneshV/T2Fillups",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "custom_pipelines": {
+    "get-declarative": {
+      "impl": "testing.DeclarativePipeline",
+      "pt": [
+        "T5ForConditionalGeneration"
+      ],
+      "tf": []
+    }
+  },
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "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": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "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: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.31.0.dev0"
+}

pytorch_model.bin

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+oid sha256:b5a72ab11f966aecd0f87d788dbd2e8e0867751d68227f0459aba0df8b80aefe
+size 891699345

special_tokens_map.json

@@ -0,0 +1,107 @@
+{
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
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+}

spiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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testing.py

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+from transformers import Pipeline
+import torch
+
+class DeclarativePipeline(Pipeline):
+    def _sanitize_parameters(self, **kwargs):
+        preprocess_kwargs = {}
+        if "answer" in kwargs:
+            preprocess_kwargs["answer"] = kwargs["answer"]
+        if "question" in kwargs:
+            preprocess_kwargs["question"] = kwargs["question"]
+        return preprocess_kwargs, {}, {}
+
+    def preprocess(self, inputs, question, answer):
+        return self.tokenizer(
+            question,
+            answer,
+            add_special_tokens=True,
+            max_length=512,
+            padding='max_length',
+            truncation='only_first',
+            return_attention_mask=True,
+            return_tensors=self.framework
+        )
+
+    def _forward(self, model_inputs):
+        self.model.eval()
+        with torch.no_grad():
+            generate_ids = self.model.generate(
+                    input_ids=model_inputs["input_ids"],
+                    attention_mask=model_inputs["attention_mask"],
+                    max_length=128,
+                    num_beams=4,
+                    num_return_sequences=1,
+                    no_repeat_ngram_size=2,
+                    early_stopping=True,
+                )
+        return generate_ids
+
+    def postprocess(self, model_outputs):
+        preds = [
+            self.tokenizer.decode(gen_id,
+                                  skip_special_tokens=True,
+                                  clean_up_tokenization_spaces=True)
+            for gen_id in model_outputs
+        ]
+        return "".join(preds)
+

tokenizer_config.json

@@ -0,0 +1,111 @@
+{
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
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+  ],
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}