Instructions to use Ppxndpxdd/sentiment-analysis-pp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ppxndpxdd/sentiment-analysis-pp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ppxndpxdd/sentiment-analysis-pp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ppxndpxdd/sentiment-analysis-pp") model = AutoModelForSequenceClassification.from_pretrained("Ppxndpxdd/sentiment-analysis-pp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ppxndpxdd/sentiment-analysis-pp: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Ppxndpxdd/sentiment-analysis-pp/resolve/main/training_args.bin
- Command line
-
hf download hf://Ppxndpxdd/sentiment-analysis-pp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ppxndpxdd/sentiment-analysis-pp/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 2dc9f1e740f29dfcd700021e0c56763266ce61c2da02df8e2fc15635cd0f32d3
- Size of remote file:
- 4.92 kB
- SHA256:
- df570cc32820159cf8f2590e83cc17e29000dad983f73cdcfca0f42abef55357
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