Spaces:
Paused
Paused
Update chatbot.py
Browse files- chatbot.py +4 -4
chatbot.py
CHANGED
|
@@ -27,8 +27,8 @@ import io # Add this import for working with image bytes
|
|
| 27 |
|
| 28 |
# You can also use models that are commented below
|
| 29 |
# model_id = "llava-hf/llava-interleave-qwen-0.5b-hf"
|
| 30 |
-
model_id = "llava-hf/llava-interleave-qwen-7b-hf"
|
| 31 |
-
|
| 32 |
processor = LlavaProcessor.from_pretrained(model_id)
|
| 33 |
model = LlavaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.float16, use_flash_attention_2=True, low_cpu_mem_usage=True)
|
| 34 |
model.to("cuda")
|
|
@@ -75,8 +75,8 @@ EXAMPLES = [
|
|
| 75 |
],
|
| 76 |
[
|
| 77 |
{
|
| 78 |
-
"text": "
|
| 79 |
-
"files": [f"{examples_path}/
|
| 80 |
}
|
| 81 |
],
|
| 82 |
[
|
|
|
|
| 27 |
|
| 28 |
# You can also use models that are commented below
|
| 29 |
# model_id = "llava-hf/llava-interleave-qwen-0.5b-hf"
|
| 30 |
+
# model_id = "llava-hf/llava-interleave-qwen-7b-hf"
|
| 31 |
+
model_id = "llava-hf/llava-interleave-qwen-7b-dpo-hf"
|
| 32 |
processor = LlavaProcessor.from_pretrained(model_id)
|
| 33 |
model = LlavaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.float16, use_flash_attention_2=True, low_cpu_mem_usage=True)
|
| 34 |
model.to("cuda")
|
|
|
|
| 75 |
],
|
| 76 |
[
|
| 77 |
{
|
| 78 |
+
"text": "Explain the cause of Accident",
|
| 79 |
+
"files": [f"{examples_path}/example_video/accident.mp4"],
|
| 80 |
}
|
| 81 |
],
|
| 82 |
[
|