Instructions to use ebadhussain20/urdu_ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebadhussain20/urdu_ocr with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebadhussain20/urdu_ocr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload 12 files
Browse files- .gitattributes +1 -0
- checkpoint-2000/README.md +210 -0
- checkpoint-2000/adapter_model.safetensors +3 -0
- checkpoint-2000/chat_template.jinja +7 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/processor_config.json +43 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/tokenizer.json +3 -0
- checkpoint-2000/tokenizer_config.json +130 -0
- checkpoint-2000/trainer_state.json +1466 -0
- checkpoint-2000/training_args.bin +3 -0
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000/README.md
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---
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base_model: unsloth/qwen2-vl-7b-instruct-unsloth-bnb-4bit
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth/qwen2-vl-7b-instruct-unsloth-bnb-4bit
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- lora
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- sft
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- transformers
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- trl
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- unsloth
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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| 59 |
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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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.
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[More Information Needed]
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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 0.18.1
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checkpoint-2000/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b37bba893ac6f60851c2c6505ab77608f56958e93fa958314f4ef7ab9d42956b
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size 406940800
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checkpoint-2000/chat_template.jinja
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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You are a helpful assistant.<|im_end|>
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{% endif %}<|im_start|>{{ message['role'] }}
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{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
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{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
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{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
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{% endif %}
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checkpoint-2000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8180a2fd5ec8ecfb09e4b7e54835dfdc155dd80a23a98cabeab3724e33510198
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size 207370053
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checkpoint-2000/processor_config.json
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{
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"image_processor": {
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [0.48145466, 0.4578275, 0.40821073],
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"image_processor_type": "Qwen2VLImageProcessor",
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"image_std": [0.26862954, 0.26130258, 0.27577711],
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"merge_size": 2,
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"patch_size": 14,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 12845056,
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"shortest_edge": 3136
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},
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"temporal_patch_size": 2
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},
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"processor_class": "Qwen2VLProcessor",
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"video_processor": {
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"do_sample_frames": false,
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"image_mean": [0.48145466, 0.4578275, 0.40821073],
|
| 28 |
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"image_std": [0.26862954, 0.26130258, 0.27577711],
|
| 29 |
+
"max_frames": 768,
|
| 30 |
+
"merge_size": 2,
|
| 31 |
+
"min_frames": 4,
|
| 32 |
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"patch_size": 14,
|
| 33 |
+
"resample": 3,
|
| 34 |
+
"rescale_factor": 0.00392156862745098,
|
| 35 |
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"return_metadata": false,
|
| 36 |
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"size": {
|
| 37 |
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"longest_edge": 12845056,
|
| 38 |
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"shortest_edge": 3136
|
| 39 |
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},
|
| 40 |
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"temporal_patch_size": 2,
|
| 41 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
| 42 |
+
}
|
| 43 |
+
}
|
checkpoint-2000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d60a3244e0daf7f85a8316a7f5740690bfd1864fc578f9e5e8cd2a4f6d14224f
|
| 3 |
+
size 14645
|
checkpoint-2000/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:736a194599fadbae29f991bafad676654a4244410a3b7590207d5b38dd5cd23f
|
| 3 |
+
size 1383
|
checkpoint-2000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:1ed3bce79b126da3b8d88e35f35ae9a54453cbf7c2af1ddc090a9ae8b0a3ecda
|
| 3 |
+
size 1465
|
checkpoint-2000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:54f71a9b8218fde29235fc188308e107371d8990b58bfbe924e1e00788f96834
|
| 3 |
+
size 12178018
|
checkpoint-2000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,130 @@
|
|
|
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|
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|
| 1 |
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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"backend": "tokenizers",
|
| 4 |
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"bos_token": null,
|
| 5 |
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"clean_up_tokenization_spaces": false,
|
| 6 |
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"eos_token": "\u003C|im_end|\u003E",
|
| 7 |
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"errors": "replace",
|
| 8 |
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"is_local": false,
|
| 9 |
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"model_max_length": 32768,
|
| 10 |
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"pad_token": "\u003C|vision_pad|\u003E",
|
| 11 |
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"padding_side": "right",
|
| 12 |
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"processor_class": "Qwen2VLProcessor",
|
| 13 |
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"split_special_tokens": false,
|
| 14 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 15 |
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"unk_token": null,
|
| 16 |
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"added_tokens_decoder": {
|
| 17 |
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"151643": {
|
| 18 |
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"content": "\u003C|endoftext|\u003E",
|
| 19 |
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"single_word": false,
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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"special": true
|
| 24 |
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},
|
| 25 |
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"151644": {
|
| 26 |
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"content": "\u003C|im_start|\u003E",
|
| 27 |
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"single_word": false,
|
| 28 |
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"lstrip": false,
|
| 29 |
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"rstrip": false,
|
| 30 |
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|
| 31 |
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"special": true
|
| 32 |
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},
|
| 33 |
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"151645": {
|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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},
|
| 41 |
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"151646": {
|
| 42 |
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"content": "\u003C|object_ref_start|\u003E",
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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},
|
| 49 |
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"151647": {
|
| 50 |
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"content": "\u003C|object_ref_end|\u003E",
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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},
|
| 57 |
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"151648": {
|
| 58 |
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"content": "\u003C|box_start|\u003E",
|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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"normalized": false,
|
| 63 |
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"special": true
|
| 64 |
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},
|
| 65 |
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"151649": {
|
| 66 |
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"content": "\u003C|box_end|\u003E",
|
| 67 |
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|
| 68 |
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"lstrip": false,
|
| 69 |
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|
| 70 |
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|
| 71 |
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"special": true
|
| 72 |
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},
|
| 73 |
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"151650": {
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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"rstrip": false,
|
| 78 |
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|
| 79 |
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|
| 80 |
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},
|
| 81 |
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"151651": {
|
| 82 |
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"content": "\u003C|quad_end|\u003E",
|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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},
|
| 89 |
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"151652": {
|
| 90 |
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"content": "\u003C|vision_start|\u003E",
|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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"special": true
|
| 96 |
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},
|
| 97 |
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|
| 98 |
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"content": "\u003C|vision_end|\u003E",
|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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},
|
| 105 |
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"151654": {
|
| 106 |
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"content": "\u003C|vision_pad|\u003E",
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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"special": true
|
| 112 |
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},
|
| 113 |
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"151655": {
|
| 114 |
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"content": "\u003C|image_pad|\u003E",
|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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},
|
| 121 |
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"151656": {
|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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}
|
| 129 |
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}
|
| 130 |
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}
|
checkpoint-2000/trainer_state.json
ADDED
|
@@ -0,0 +1,1466 @@
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