auto git

config.json

@@ -1,7 +1,7 @@
 {
   "_name_or_path": "NewBreaker/chatglm-6b-int4",
   "architectures": [
-    "RobertaForQuestionAnswering"
+    "Question Answering task"
   ],
   "auto_map": {
     "AutoConfig": "configuration_chatglm.ChatGLMConfig",
@@ -18,7 +18,7 @@
   "layernorm_epsilon": 1e-05,
   "max_sequence_length": 2048,
   "model_type": "chatglm",
-  "num_attention_heads": 32,
+  "num_attention_heads": 36,
   "num_layers": 28,
   "position_encoding_2d": true,
   "quantization_bit": 4,

demo_call_api.py

@@ -2,3 +2,13 @@ from transformers import AutoModel,AutoTokenizer
 
 model = AutoModel.from_pretrained("NewBreaker/chatglm-6b-int4",trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained("NewBreaker/chatglm-6b-int4", trust_remote_code=True)
+
+from transformers import AutoConfig
+
+config = AutoConfig.from_pretrained("bert-base-cased")
+
+# Push the config to your namespace with the name "my-finetuned-bert".
+config.push_to_hub("my-finetuned-bert")
+
+# Push the config to an organization with the name "my-finetuned-bert".
+config.push_to_hub("huggingface/my-finetuned-bert")

demo_update_config.py

@@ -0,0 +1,13 @@
+
+from transformers import AutoConfig
+
+config = AutoConfig.from_pretrained(".\\",trust_remote_code=True)
+print("config:", config)
+
+# 将配置推送到名为“my-finetuned-bert”的命名空间。
+config.push_to_hub( "NewBreaker/chatglm-6b-int4" )
+
+config = AutoConfig.from_pretrained("NewBreaker/chatglm-6b-int4",trust_remote_code=True)
+print("config:", config)
+
+