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 training_args.bin from PeppoCola/IssueReportClassifier-NLBSE22: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/PeppoCola/IssueReportClassifier-NLBSE22/resolve/main/training_args.bin
- Command line
-
hf download hf://PeppoCola/IssueReportClassifier-NLBSE22/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/PeppoCola/IssueReportClassifier-NLBSE22/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 89c807a45685cfe1046e77b5c15a99327140471c53f2372af6d6b002e2c203ab
- Size of remote file:
- 3.57 kB
- SHA256:
- cfde9d2264282d3eb39110a80986e198835368bd2728758efb9a426f6861585a
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