add chat template
Browse files- README.md +17 -4
- tokenizer_config.json +2 -1
README.md
CHANGED
@@ -45,12 +45,25 @@ ReflectionCoder is a novel approach that effectively leverages reflection sequen
|
|
45 |
Following chat templates of most models, we use two special tokens to wrap the message of user and assistant, *i.e.*, ``<|user|>``, ``<|assistant|>``, and ``<|endofmessage|>``. Furthermore, we use two special tokens to wrap the content of different blocks, *i.e.*, ``<|text|>`` and ``<|endofblock|>``. You can use the following template to prompt our ReflectionCoder.
|
46 |
|
47 |
```python
|
48 |
-
|
49 |
-
|
50 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
```
|
52 |
|
53 |
-
#### Inference Code
|
54 |
Please refer to our [GitHub Repo](https://github.com/SenseLLM/ReflectionCoder) for more technical details.
|
55 |
|
56 |
## Citation
|
|
|
45 |
Following chat templates of most models, we use two special tokens to wrap the message of user and assistant, *i.e.*, ``<|user|>``, ``<|assistant|>``, and ``<|endofmessage|>``. Furthermore, we use two special tokens to wrap the content of different blocks, *i.e.*, ``<|text|>`` and ``<|endofblock|>``. You can use the following template to prompt our ReflectionCoder.
|
46 |
|
47 |
```python
|
48 |
+
import torch
|
49 |
+
from transformers import pipeline
|
50 |
+
|
51 |
+
chat = [
|
52 |
+
{"role": "user", "content": "<Your code instruction here>"}
|
53 |
+
]
|
54 |
+
|
55 |
+
generator = pipeline(
|
56 |
+
model="SenseLLM/ReflectionCoder-DS-6.7B",
|
57 |
+
task="text-generation",
|
58 |
+
torch_dtype=torch.bfloat16,
|
59 |
+
device_map="auto",
|
60 |
+
)
|
61 |
+
|
62 |
+
result = generator(chat, max_length=128, num_return_sequences=1)
|
63 |
+
|
64 |
+
print(result)
|
65 |
```
|
66 |
|
|
|
67 |
Please refer to our [GitHub Repo](https://github.com/SenseLLM/ReflectionCoder) for more technical details.
|
68 |
|
69 |
## Citation
|
tokenizer_config.json
CHANGED
@@ -253,5 +253,6 @@
|
|
253 |
"sp_model_kwargs": {},
|
254 |
"tokenizer_class": "LlamaTokenizer",
|
255 |
"unk_token": null,
|
256 |
-
"use_default_system_prompt": false
|
|
|
257 |
}
|
|
|
253 |
"sp_model_kwargs": {},
|
254 |
"tokenizer_class": "LlamaTokenizer",
|
255 |
"unk_token": null,
|
256 |
+
"use_default_system_prompt": false,
|
257 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ '<|user|>' }}{% elif message['role'] == 'system' %}{{ '<|system|>' }}{% elif message['role'] == 'assistant' %}{{ '<|assistant|>' }}{% endif %}{% if message['content'] is string %}{{ '<|text|>' + message['content'] + '<|endofblock|>' }}{% elif obj is sequence %}{% for block in message['content'] %}{% if block['type'] == 'text' %}{{ '<|text|>' }}{% elif block['type'] == 'code' %}{{ '<|code|>' }}{% elif block['type'] == 'execution' %}{{ '<|execution|>' }}{% endif %}{{ block['content'] + '<|endofblock|>' }}{% endfor %}{% endif %}{{ '<|endofmessage|>' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% endif %}"
|
258 |
}
|