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 training_args.bin from shushuile/bert-base-uncased-finetuned-imdb: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://shushuile/bert-base-uncased-finetuned-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 3fdb9b42af07d99da34029847ff49f6b9f077d6e5a7e3dcaf5a4b15dab998c00
- Size of remote file:
- 4.09 kB
- SHA256:
- da28da6dc95edcb9d9924dcebe17082436d4fcf61285b0a1a98e2f32b34c22c7
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