rony/gpt2-quantized-jokes

Model Card for Model ID

Model Details

Don't use the Inference API ( the input box to the right of this page), as that is not optimized for this generation. ---->

Please use the code provided below.

Uses

    import transformers
    from transformers import AutoModelForCausalLM, AutoTokenizer
    model_name = "rony/gpt2-quantized-jokes"
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    prompt = tokenizer.apply_chat_template('JOKE: ', add_generation_prompt=True, tokenize=False)

    # Create pipeline
    pipeline = transformers.pipeline(
        "text-generation",
        model=model_name,
        tokenizer=tokenizer
    )

    # Generate text
    sequences = pipeline(
        prompt,
        do_sample=True,
        temperature=0.7,
        top_p=0.9,
        num_return_sequences=1,
        max_length=200,
    )
    print(sequences[0]['generated_text'])

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

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

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• 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]

Model Card Contact

[More Information Needed]