Welcome to your guide on effective use of astroGPT, a unique language model fine-tuned on Western zodiac signs, designed to generate daily horoscopes. With this model, you simply need to input the current date which will allow the model to generate a relevant horoscope for you!

Model Description

astroGPT is based on GPT-2 architecture and specializes in generating text related to horoscopes. If you’re curious about GPT-2’s capabilities, check out the Hugging Face GPT-2 model card. By entering the current date, astroGPT can provide you with your daily horoscope, giving a fun and mystical touch to your day.

How to Use astroGPT

To harness the power of astroGPT and generate your horoscope, follow these simple steps:

1. Make sure you have the necessary libraries installed, specifically the transformers library.
2. Input the current date in the specified format.
3. Run the following code snippet in your Python environment:

python
from transformers import AutoTokenizer, AutoModelWithLMHead

tokenizer = AutoTokenizer.from_pretrained("stevhliu/astroGPT")
model = AutoModelWithLMHead.from_pretrained("stevhliu/astroGPT")

input_ids = tokenizer.encode("Sep 03, 2020", return_tensors="pt").to("cuda")
sample_output = model.generate(input_ids,
                                do_sample=True,
                                max_length=75,
                                top_k=20,
                                top_p=0.97)

print(sample_output)

This code snippet initializes the model and tokenizer, encodes your desired date, generates a horoscope, and then prints it out. Make sure to replace Sep 03, 2020 with the actual date you wish to query.

Limitations and Bias

It’s crucial to note that astroGPT inherits certain biases present in the underlying GPT-2 model. The content available for training includes a vast amount of non-neutral text found across the internet. Consequently, while it can generate horoscopes, it doesn’t specifically account for zodiac signs. You may find some horoscopes that mention zodiac signs, but this is merely a reflection of the traditional structures of horoscopes rather than targeted generation.

Data Training Insights

The data used to train astroGPT was scraped from Horoscope.com, amounting to 4.7MB of text categorized into daily, love, wellness, and career horoscopes. Training took place with modern techniques on one of Google Colaboratory’s GPUs for about 2.5 hours, utilizing a range of advanced methods to optimize performance.

Troubleshooting

If you encounter issues while running astroGPT or generating horoscopes, keep the following troubleshooting tips in mind:

• Check Library Versions: Ensure that the transformers library is up to date.
• GPU Availability: Make sure that you have access to a GPU if running the model on a large dataset.
• Input Format: Double-check your date input format for any discrepancies.
• Memory Issues: If you are using a local environment, verify that your system has enough memory to handle the model.

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Conclusion

astroGPT provides a fascinating glimpse into the intersection of artificial intelligence and astrology. By following the steps outlined above, you can generate your daily horoscopes effortlessly. Don’t forget about the important limitations surrounding the model’s production of general horoscopes reminiscent of a more traditional style.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.