Instructions to use Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate") model = AutoModelForMaskedLM.from_pretrained("Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Binaryy/distilbert-base-uncased-finetuned-imdb-accelerate/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 2620ae0692e5c029bfb8eaf78acbdf72b499af2e08182f1873be8d7a12a42134
- Size of remote file:
- 268 MB
- SHA256:
- 7e39a7ccb8c0060b6fde73a47cc0ebcef3fd79d34b619fc91cbeb144fe3d4958
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