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Model: chinoll/Yi-6b-200k-dpo
Source: Original Platform

README.md

@@ -0,0 +1,38 @@
+---
+language:
+- zh
+- en
+pipeline_tag: text-generation
+license: other
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+library_name: transformers
+---
+
+## Examples
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = 'chinoll/Yi-6b-200k-dpo'
+
+tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
+
+# Since transformers 4.35.0, the GPT-Q/AWQ model can be loaded using AutoModelForCausalLM.
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "hi"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
+```