Instructions to use shushuile/bert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shushuile/bert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shushuile/bert-base-uncased-finetuned-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shushuile/bert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("shushuile/bert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shushuile/bert-base-uncased-finetuned-imdb: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shushuile/bert-base-uncased-finetuned-imdb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 50b2332c0232d57d222c6a82e7bc33555fc9d1460430d518a0f51069c6b68ec5
- Size of remote file:
- 438 MB
- SHA256:
- 48ec10abc5faaf4168d1b1d2eca99f2f5fb0cac0a55a4ee633d1164ddc506888
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