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Prathamesh2403/
distilbert-base-uncased-finetuned-imdb

Name: distilbert-base-uncased-finetuned-imdb
Availability: InStock

distilbert

masked-language-modeling

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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

python

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].")