Update README.md

README.md

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 library_name: transformers
 tags: []
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+# PersianGemmaTokenizerFast
 
-# Model Card for Model ID
+A fine-tuned Gemma tokenizer on Persian text, optimized to handle the nuances of the Persian language with improved efficiency and accuracy. This tokenizer is available via the Hugging Face Hub as [mshojaei77/PersianGemmaTokenizerFast](https://huggingface.co/mshojaei77/PersianGemmaTokenizerFast).
 
-<!-- Provide a quick summary of what the model is/does. -->
+## Overview
 
+The **PersianGemmaTokenizerFast** leverages the robust architecture of the original Gemma tokenizer and is fine-tuned on Persian data. It is designed to provide faster and more accurate tokenization for various Natural Language Processing (NLP) tasks involving Persian text.
 
+## Features
 
-## Model Details
+- **Optimized for Persian:** Tailored tokenization for Persian language constructs.
+- **Speed and Efficiency:** Built on fast tokenization libraries for quick processing.
+- **Compatibility:** Works seamlessly with the Hugging Face Transformers library.
 
-### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+## Usage
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+Here is an example of how to use the tokenizer in your Python code:
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+```python
+from transformers import AutoTokenizer
 
-### Model Sources [optional]
+# Load the tokenizer
+tokenizer = AutoTokenizer.from_pretrained("mshojaei77/PersianGemmaTokenizerFast")
 
-<!-- Provide the basic links for the model. -->
+# Example Persian text
+text = "سلام، حال شما چطور است؟"
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+# Tokenize the text
+encoded = tokenizer(text)
 
-## Uses
+# Print token IDs and tokens
+print("Token IDs:", encoded["input_ids"])
+print("Tokens:", tokenizer.convert_ids_to_tokens(encoded["input_ids"]))
+```
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+## Comparing Performance on a Paragraph of Persian Text
 
-### Direct Use
+The following image compares the performance of the PersianGemmaTokenizerFast on a paragraph of Persian text, showcasing its efficiency relative to other tokenizers (fewer tokens imply better performance):
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6556b1bb85d43542fa1a8f91/lZJKqsi4BZ8mJiY_I-vhA.png)
 
-[More Information Needed]
+## Contributing
 
-### Downstream Use [optional]
+Contributions to improve the tokenizer or its documentation are welcome! If you encounter any issues or have suggestions, please feel free to open an issue or submit a pull request.
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+## License
 
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- 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. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+This project is licensed under the MIT License.