初始化项目，由ModelHub XC社区提供模型

Model: WangZeJun/bloom-820m-chat
Source: Original Platform

README.md

@@ -0,0 +1,30 @@
+---
+license: bigscience-bloom-rail-1.0
+---
+
+https://github.com/zejunwang1/bloom_tuning
+
+可以通过如下代码调用 bloom-820m-chat 模型来生成对话：
+
+```python
+from transformers import BloomTokenizerFast, BloomForCausalLM
+
+model_name_or_path = "WangZeJun/bloom-820m-chat"
+
+tokenizer = BloomTokenizerFast.from_pretrained(model_name_or_path)
+model = BloomForCausalLM.from_pretrained(model_name_or_path).cuda()
+model = model.eval()
+
+input_pattern = "{}</s>"
+text = "你好"
+input_ids = tokenizer(input_pattern.format(text), return_tensors="pt").input_ids
+input_ids = input_ids.cuda()
+
+outputs = model.generate(input_ids, do_sample=True, max_new_tokens=1024, top_p=0.85,
+    temperature=0.3, repetition_penalty=1.2, eos_token_id=tokenizer.eos_token_id)
+
+input_ids_len = input_ids.size(1)
+response_ids = outputs[0][input_ids_len:]
+response = tokenizer.decode(response_ids)
+print(response)
+```