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.
๐
Ask for provider support