Instructions to use HeTree/HeConEspc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeConEspc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HeTree/HeConEspc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeConEspc") model = AutoModelForSequenceClassification.from_pretrained("HeTree/HeConEspc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b5d124885776ff7d844451deed232ac24d43b7275c413969b7425b0beb1f1f8
- Size of remote file:
- 499 MB
- SHA256:
- 28b6eec80c9fd862a04b9c13c8b1beeb7cd0741f62a5051f48d1ac6124ff40d8
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