Instructions to use kumarme072/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumarme072/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kumarme072/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kumarme072/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("kumarme072/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ba78f556df245cd57d5b0195746c8f91cb3e93209fdb14be087cf5f2850ac54
- Size of remote file:
- 4.6 kB
- SHA256:
- 1f198306d2746cd6cf8cdfded13a1b8f2bf2a572ce52673379d796b9f315f9eb
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