Upload T5ForConditionalGeneration

config.json

@@ -1,5 +1,5 @@
 {
-"_name_or_path": "Falconsai/medical_summarization",
+  "_name_or_path": "./model/",
   "architectures": [
     "T5ForConditionalGeneration"
   ],
@@ -28,13 +28,31 @@
     "summarization": {
       "early_stopping": true,
       "length_penalty": 2.0,
-      "max_length": 300,
+      "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",
   "use_cache": true,

generation_config.json

@@ -1,12 +1,6 @@
 {
   "decoder_start_token_id": 0,
-  "early_stopping": true,
   "eos_token_id": 1,
-  "length_penalty": 2.0,
-  "max_length": 200,
-  "min_length": 30,
-  "no_repeat_ngram_size": 3,
-  "num_beams": 4,
   "pad_token_id": 0,
   "transformers_version": "4.31.0"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c806f975ded2d8f21869ada8534e79b72555c0947ee3aef12facf2aeed9a260
+oid sha256:f1a6a370921cde2862afd981d62d6d6a06ffcf6739ca691d02d971e455915168
 size 242069785