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Nits for model docs #29795

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Apr 22, 2024
Merged

Nits for model docs #29795

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18e9f7b
Update llava_next.md
merveenoyan Mar 21, 2024
e9cc043
Update seggpt.md
merveenoyan Mar 21, 2024
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6 changes: 3 additions & 3 deletions docs/source/en/model_doc/llava_next.md
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Expand Up @@ -98,16 +98,16 @@ print(processor.decode(output[0], skip_special_tokens=True))

### Quantization using Bitsandbytes

The model can be loaded in 8 or 4 bits, greatly reducing the memory requirements while maintaining the performance of the original model. First make sure to install bitsandbytes, `pip install bitsandbytes`` and make sure to have access to a CUDA compatible GPU device. Simply change the snippet above with:
The model can be loaded in 8 or 4 bits, greatly reducing the memory requirements while maintaining the performance of the original model. First make sure to install bitsandbytes, `pip install bitsandbytes` and make sure to have access to a CUDA compatible GPU device. Simply change the snippet above with:

```python
from transformers import LlavaNextForConditionalGeneration, BitsandBytesConfig
from transformers import LlavaNextForConditionalGeneration, BitsAndBytesConfig

# specify how to quantize the model
quantization_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_compute_dtype="torch.float16",
bnb_4bit_compute_dtype=torch.float16,
)

model = LlavaNextForConditionalGeneration.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf", quantization_config=quantization_config, device_map="auto")
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4 changes: 2 additions & 2 deletions docs/source/en/model_doc/seggpt.md
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Expand Up @@ -36,7 +36,7 @@ import torch
from datasets import load_dataset
from transformers import SegGptImageProcessor, SegGptForImageSegmentation

model_id = "BAAI/seggpt-vit-large"
checkpoint = "BAAI/seggpt-vit-large"
image_processor = SegGptImageProcessor.from_pretrained(checkpoint)
model = SegGptForImageSegmentation.from_pretrained(checkpoint)

Expand Down Expand Up @@ -87,4 +87,4 @@ The original code can be found [here]([(https://github.com/baaivision/Painter/tr
## SegGptForImageSegmentation

[[autodoc]] SegGptForImageSegmentation
- forward
- forward
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