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") - Notebooks
- Google Colab
- Kaggle
Yassine Handane commited on
Upload label_encoder.pkl
Browse files- label_encoder.pkl +3 -0
label_encoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f2140f9641061e34cfa413940d8b885b3016267e372ed6b7878908a47ab4759
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