Instructions to use distilbert/distilbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilbert-base-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-cased") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilbert-base-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download .gitattributes from distilbert/distilbert-base-cased: direct link, hf CLI and curl.
- Browser
- Download file 399 Bytes
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https://huggingface.co/distilbert/distilbert-base-cased/resolve/refs%2Fpr%2F7/.gitattributes
- Command line
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hf download hf://distilbert/distilbert-base-cased@refs/pr/7/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/distilbert/distilbert-base-cased/resolve/refs%2Fpr%2F7/.gitattributes
399 Bytes
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