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:
- 1c6baad95f74c9a8a5038366a38df94f219825f761eec739d3264635e5344154
- Size of remote file:
- 4.09 kB
- SHA256:
- 04624654c67def1a683efd41da91a0745a46887011dc12a86dffae43cf1727d9
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