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--- |
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base_model: Salesforce/blip2-opt-2.7b |
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library_name: peft |
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--- |
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# Model Card for Model ID |
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This is an adapter for the Salesforce BLIP2 2.7B model (more information on the model [here](https://huggingface.co/Salesforce/blip2-opt-2.7b)). It was fine-tuned for generating product descriptions based on images using the [H&M dataset](https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations) from the kaggle challenge 2022. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. Make sure to replace the path with a local path to an image. |
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```python |
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from transformers import Blip2Processor, Blip2ForConditionalGeneration |
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from PIL import Image |
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import torch |
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torch_dtype = torch.bfloat16 |
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu") |
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base_checkpoint = "Salesforce/blip2-opt-2.7b" |
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base_model = Blip2ForConditionalGeneration.from_pretrained(base_checkpoint, torch_dtype=torch_dtype) |
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adapter_checkpoint = "CDL-RecSys/blip2-opt-2.7b-hm" |
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model = PeftModel.from_pretrained(base_model, model_id=adapter_checkpoint) |
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processor = Blip2Processor.from_pretrained(base_checkpoint) |
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tokenizer = processor.tokenizer |
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image = Image.open("path/to/your/image.jpg") |
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inputs = processor(image, return_tensors="pt").to(device, torch_dtype) |
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generated_ids = model.generate(**inputs, max_length=max_length) |
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generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True) |
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generated_text |
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``` |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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[More Information Needed] |
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### Training Procedure |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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[More Information Needed] |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Dataset Card if possible. --> |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
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### Framework versions |
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- PEFT 0.12.0 |
