Update README.md
Browse files
README.md
CHANGED
@@ -68,6 +68,42 @@ Our work can be cited as:
|
|
68 |
|
69 |
This model is a Chat model, that is, it is finetuned for Chat function and works best with the provided template.
|
70 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
71 |
```python
|
72 |
|
73 |
import torch
|
|
|
68 |
|
69 |
This model is a Chat model, that is, it is finetuned for Chat function and works best with the provided template.
|
70 |
|
71 |
+
#### With pipeline
|
72 |
+
|
73 |
+
```python
|
74 |
+
import torch
|
75 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
|
76 |
+
|
77 |
+
|
78 |
+
model_name = "croissantllm/CroissantLLMChat-v0.1"
|
79 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
80 |
+
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
|
81 |
+
|
82 |
+
messages = [
|
83 |
+
{"role": "user", "content": "Qui est le président francais ?"},
|
84 |
+
]
|
85 |
+
|
86 |
+
pipe = pipeline(
|
87 |
+
"text-generation",
|
88 |
+
model=model,
|
89 |
+
tokenizer=tokenizer,
|
90 |
+
)
|
91 |
+
|
92 |
+
generation_args = {
|
93 |
+
"max_new_tokens": 500,
|
94 |
+
"return_full_text": False,
|
95 |
+
"temperature": 0.0,
|
96 |
+
"do_sample": False,
|
97 |
+
}
|
98 |
+
|
99 |
+
output = pipe(messages, **generation_args)
|
100 |
+
print(output[0]['generated_text'])
|
101 |
+
```
|
102 |
+
|
103 |
+
#### With generate
|
104 |
+
|
105 |
+
This might require a stopping criteria on <|im_end|> token.
|
106 |
+
|
107 |
```python
|
108 |
|
109 |
import torch
|