Instructions to use PeppoCola/IssueReportClassifier-NLBSE22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeppoCola/IssueReportClassifier-NLBSE22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeppoCola/IssueReportClassifier-NLBSE22")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeppoCola/IssueReportClassifier-NLBSE22") model = AutoModelForSequenceClassification.from_pretrained("PeppoCola/IssueReportClassifier-NLBSE22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download output_test.csv from PeppoCola/IssueReportClassifier-NLBSE22: direct link, hf CLI and curl.
- Browser
- Download file 633 kB
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https://huggingface.co/PeppoCola/IssueReportClassifier-NLBSE22/resolve/main/output_test.csv
- Command line
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hf download hf://PeppoCola/IssueReportClassifier-NLBSE22/output_test.csv
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curl -L -o output_test.csv https://huggingface.co/PeppoCola/IssueReportClassifier-NLBSE22/resolve/main/output_test.csv
633 kB
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