distilbert-base-uncased-finetuned-imdb

This is a DistilBERT model fine-tuned using Masked Language Modeling (MLM) on the IMDB movie reviews dataset.
It is domain-adapted specifically for understanding and completing movie-related text.


Model Details

  • Base model: distilbert-base-uncased
  • Training objective: Masked Language Modeling
  • Domain: English movie reviews (IMDB)
  • Framework: TensorFlow / Keras
  • Training time: ~3 hours on Google Colab
  • Chunk size: 128 tokens

Use Case

This model is ideal for:

  • Autocompletion of masked tokens in movie reviews
  • Domain-aware masked language modeling
  • Sentence generation or augmentation in film-related contexts

Example Usage

from transformers import pipeline

fill_mask = pipeline(
    "fill-mask",
    model="Prathamesh2403/distilbert-base-uncased-finetuned-imdb",
    tokenizer="Prathamesh2403/distilbert-base-uncased-finetuned-imdb"
)

fill_mask("This movie was absolutely [MASK].")
Downloads last month
13
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support