Instructions to use Torchborg/luke-base-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Torchborg/luke-base-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Torchborg/luke-base-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Torchborg/luke-base-classifier") model = AutoModelForSequenceClassification.from_pretrained("Torchborg/luke-base-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Torchborg/luke-base-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.1 GB
-
https://huggingface.co/Torchborg/luke-base-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Torchborg/luke-base-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Torchborg/luke-base-classifier/resolve/main/pytorch_model.bin
1.1 GB
- Xet hash:
- 3d54ad0d14eb67452d4e460bfd88259a194f660a2d1882f8449f1df8afb32ebb
- Size of remote file:
- 1.1 GB
- SHA256:
- 7ca8bb1b08910185eea8a944fe805196bf0e6eb5ffa194231ffaf97b80edc7dc
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