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model checkpoint added

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Files changed (7) hide show
  1. app.py +1 -1
  2. model/google/flan-t5-small/config.json +62 -0
  3. model/google/flan-t5-small/generation_config.json +7 -0
  4. model/google/flan-t5-small/pytorch_model.bin +3 -0
  5. model/google/flan-t5-small/special_tokens_map.json +107 -0
  6. model/google/flan-t5-small/spiece.model +3 -0
  7. model/google/flan-t5-small/tokenizer_config.json +113 -0
app.py CHANGED
@@ -3,7 +3,7 @@ from transformers import T5Tokenizer, T5ForConditionalGeneration
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  from transformers import pipeline
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  # Model and tokenizer loading
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- checkpoint = "t5-small" # Use the smaller "t5-small" model
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  tokenizer = T5Tokenizer.from_pretrained(checkpoint)
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  base_model = T5ForConditionalGeneration.from_pretrained(checkpoint)
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  from transformers import pipeline
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  # Model and tokenizer loading
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+ checkpoint = "./model/google/flan-t5-small" # Use the smaller "t5-small" model
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  tokenizer = T5Tokenizer.from_pretrained(checkpoint)
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  base_model = T5ForConditionalGeneration.from_pretrained(checkpoint)
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model/google/flan-t5-small/config.json ADDED
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+ {
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+ "_name_or_path": "google/flan-t5-small",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 1024,
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+ "d_kv": 64,
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+ "d_model": 512,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 8,
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+ "num_heads": 6,
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+ "num_layers": 8,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "task_specific_params": {
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+ "summarization": {
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+ "early_stopping": true,
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+ "length_penalty": 2.0,
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+ "max_length": 200,
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+ "min_length": 30,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "prefix": "summarize: "
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+ },
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+ "translation_en_to_de": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to German: "
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+ },
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+ "translation_en_to_fr": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to French: "
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+ },
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+ "translation_en_to_ro": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to Romanian: "
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+ }
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+ },
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.2",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
model/google/flan-t5-small/generation_config.json ADDED
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.33.2"
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+ }
model/google/flan-t5-small/pytorch_model.bin ADDED
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