Instructions to use Elron/bleurt-base-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/bleurt-base-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/bleurt-base-512")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/bleurt-base-512") model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-base-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Elron/bleurt-base-512: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Elron/bleurt-base-512/resolve/3c9a43445f141fb010e37e2a4d2733a487e7a7b3/pytorch_model.bin
- Command line
-
hf download hf://Elron/bleurt-base-512@3c9a43445f141fb010e37e2a4d2733a487e7a7b3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Elron/bleurt-base-512/resolve/3c9a43445f141fb010e37e2a4d2733a487e7a7b3/pytorch_model.bin
438 MB
- Xet hash:
- a049560eac6951fbffc59f9583ca7bd5d96a5c320fc8ba99d5cfe3eda692af4d
- Size of remote file:
- 438 MB
- SHA256:
- 953450ca13600786727b518000f0e046ac89fdcd2ed5e5ee610f8c6eab47f9c3
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