Instructions to use dvijay/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvijay/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dvijay/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dvijay/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("dvijay/distilbert-base-uncased-finetuned-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e22c95b624ac6272cc0c5a5b3a686e97d010a5e12089637cc86a39428ad956a
- Size of remote file:
- 268 MB
- SHA256:
- 5f00d8870df160fe342c12e8c039e15a328be29138bee949774630a53275e158
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