This page provides an overview of the Hugging Face models available in the abc_compute_forum community resources. Hugging Face is a platform offering a vast collection of pre-trained models for various natural language processing tasks.
Available Models
Here is a list of some of the popular models you can find in this community:
- BERT: A pre-trained language representation model.
- GPT-2: A deep learning model capable of generating human-like text.
- DistilBERT: A smaller, faster, lighter version of BERT.
- RoBERTa: An optimized version of BERT with improved performance.
Usage
To use these models, you can either download them directly from the Hugging Face website or use them through the Hugging Face API.
Example
Here's an example of how you can load a model and use it to generate text:
from transformers import pipeline
text_generator = pipeline("text-generation", model="gpt2")
output = text_generator("The quick brown fox...")
print(output[0]['generated_text'])
Related Resources
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