Instructions to use Blue7Bird/Zero_shot_Soft_ware_project_Mizbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blue7Bird/Zero_shot_Soft_ware_project_Mizbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Blue7Bird/Zero_shot_Soft_ware_project_Mizbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Blue7Bird/Zero_shot_Soft_ware_project_Mizbert") model = AutoModelForSequenceClassification.from_pretrained("Blue7Bird/Zero_shot_Soft_ware_project_Mizbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Blue7Bird/Zero_shot_Soft_ware_project_Mizbert: direct link, hf CLI and curl.
- Browser
- Download file 702 kB
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https://huggingface.co/Blue7Bird/Zero_shot_Soft_ware_project_Mizbert/resolve/main/tokenizer.json
- Command line
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hf download hf://Blue7Bird/Zero_shot_Soft_ware_project_Mizbert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Blue7Bird/Zero_shot_Soft_ware_project_Mizbert/resolve/main/tokenizer.json
702 kB
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