What are the best NLP models for small projects?
For small projects, models like SpaCy, NLTK, and Hugging Face's DistilBERT are great choices due to their efficiency.
Can you explain why DistilBERT is a good option?
DistilBERT is a smaller, faster, and lighter version of BERT, making it ideal for projects with limited resources.
Are there any specific use cases where SpaCy excels?
Yes, SpaCy is excellent for tasks like named entity recognition and part-of-speech tagging, especially in production environments.
What about using pre-trained models versus training from scratch?
Using pre-trained models saves time and resources, especially for small projects, as they can be fine-tuned for specific tasks.
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