Instructions to use YsnHdn/Model_PFE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YsnHdn/Model_PFE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YsnHdn/Model_PFE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YsnHdn/Model_PFE") model = AutoModelForSequenceClassification.from_pretrained("YsnHdn/Model_PFE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from YsnHdn/Model_PFE: direct link, hf CLI and curl.
- Browser
- Download file 11 Bytes
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https://huggingface.co/YsnHdn/Model_PFE/resolve/main/README.md
- Command line
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hf download hf://YsnHdn/Model_PFE/README.md
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curl -L -o README.md https://huggingface.co/YsnHdn/Model_PFE/resolve/main/README.md
11 Bytes
metadata
{}