model update

README.md

@@ -22,8 +22,7 @@ so that the query and the generated word pair form an analogy statement.
 from transformers import pipeline
 
 pipe = pipeline('text2text-generation', model="relbert/flan-t5-small-analogy")
-model_input = "generate analogy: mammal is to whale"
-output = pipe(model_input)
+output = pipe("generate analogy: mammal is to whale")
 print(output)
 >>> [{'generated_text': 'bird is to crow'}]
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "analogy_models/flan-t5-small-analogy-epoch3/model",
+  "_name_or_path": "google/flan-t5-small",
   "architectures": [
     "T5ForConditionalGeneration"
   ],

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d485dacb4853b8f9279a4ca4a19a8f211324187d429ba0945ec9093c6914f978
-size 307907461
+oid sha256:820b26d9946e472c45f93b5adc84b2e9a85b3a94d86a2bef45ed186bc3fe13cc
+size 307910149

tokenizer_config.json

@@ -104,7 +104,7 @@
   "eos_token": "</s>",
   "extra_ids": 100,
   "model_max_length": 512,
-  "name_or_path": "analogy_models/flan-t5-small-analogy-epoch3/model",
+  "name_or_path": "google/flan-t5-small",
   "pad_token": "<pad>",
   "sp_model_kwargs": {},
   "special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-small/snapshots/fb7e6cba609f7bab11c614294bc04f82f613c7b1/special_tokens_map.json",