gpt2-tokenizer-fast / README.md
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---
language:
- si
---
# Model Card for tiny-wav2vec2-no-tokenizer
# Model Details
## Model Description
- **Developed by:** Ransaka Ravihara
- **Shared by [Optional]:** Ransaka Ravihara
- **Model type:** More information needed
- **Language(s) (NLP):** si
- **License:** More information needed
- **Related Models:**
- **Parent Model:** GPT-2
# Uses
## Direct Use
This model can be used for the task of Text2Text generation
## Downstream Use [Optional]
More information needed
## Out-of-Scope Use
More information needed
# Bias, Risks, and Limitations
More information needed
## Recommendations
More information needed
# Training Details
More information needed
## Training Data
More information needed
## Training Procedure
More information needed
### Preprocessing
More information needed
### Speeds, Sizes, Times
More information needed
# Evaluation
## Testing Data, Factors & Metrics
### Testing Data
More information needed
### Factors
### Metrics
More information needed
## Results
More information needed
# Model Examination
More information needed
# Environmental Impact
- **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
# Glossary [optional]
More information needed
# More Information [optional]
More information needed
# Model Card Authors [optional]
More information needed
# Model Card Contact
More information needed
# How to Get Started with the Model
Use the code below to get started with the model.
```python
from transformers import GPT2TokenizerFast
GPT2TokenizerFast.from_pretrained("Ransaka/gpt2-tokenizer-fast")
```