Instructions to use Sahajtomar/German_Zeroshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sahajtomar/German_Zeroshot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Sahajtomar/German_Zeroshot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sahajtomar/German_Zeroshot") model = AutoModelForSequenceClassification.from_pretrained("Sahajtomar/German_Zeroshot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sahajtomar/German_Zeroshot: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/Sahajtomar/German_Zeroshot/resolve/main/training_args.bin
- Command line
-
hf download hf://Sahajtomar/German_Zeroshot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sahajtomar/German_Zeroshot/resolve/main/training_args.bin
2.16 kB
- Xet hash:
- adb406089460ff2c0f57603e0885d5eee5d222fb3afd9ccd217277d026b6e9f3
- Size of remote file:
- 2.16 kB
- SHA256:
- 8bbd9c20f0bdd6f15e4521c47f31fc26bb603d78f78a6a7bc868ecc545b58023
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