Instructions to use somosnlp-hackathon-2022/readability-es-sentences with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somosnlp-hackathon-2022/readability-es-sentences with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="somosnlp-hackathon-2022/readability-es-sentences")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("somosnlp-hackathon-2022/readability-es-sentences") model = AutoModelForSequenceClassification.from_pretrained("somosnlp-hackathon-2022/readability-es-sentences", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0ec82907a5b79be4e0f24dca31c73d763f1106dd6c756ca2ea65933183fbf91
- Size of remote file:
- 499 MB
- SHA256:
- ceaad535c1d6b3460db55dd06097770d0417e8dc9919c215a8a0d5fffc5d17ee
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