Instructions to use BSC-LT/NextProcurement_pdfutils with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/NextProcurement_pdfutils with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BSC-LT/NextProcurement_pdfutils")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BSC-LT/NextProcurement_pdfutils") model = AutoModelForSequenceClassification.from_pretrained("BSC-LT/NextProcurement_pdfutils", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from BSC-LT/NextProcurement_pdfutils: direct link, hf CLI and curl.
- Browser
- Download file 30 Bytes
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https://huggingface.co/BSC-LT/NextProcurement_pdfutils/resolve/main/README.md
- Command line
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hf download hf://BSC-LT/NextProcurement_pdfutils/README.md
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curl -L -o README.md https://huggingface.co/BSC-LT/NextProcurement_pdfutils/resolve/main/README.md
30 Bytes
| license: cc-by-nd-4.0 | |