Instructions to use helliun/polhol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/polhol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helliun/polhol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helliun/polhol") model = AutoModelForSequenceClassification.from_pretrained("helliun/polhol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6315831fbc28ac2307679323d141bcedf088f6a6ac0b2ed9779be5687a605cd2
- Size of remote file:
- 438 MB
- SHA256:
- b5c5a321a962ca13eb6aa4b509b01195f946aead109cb83e63232bbd21996a9d
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