Instructions to use v-urushkin/xlm-roberta-base-readability with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use v-urushkin/xlm-roberta-base-readability with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="v-urushkin/xlm-roberta-base-readability")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("v-urushkin/xlm-roberta-base-readability") model = AutoModelForSequenceClassification.from_pretrained("v-urushkin/xlm-roberta-base-readability") - Notebooks
- Google Colab
- Kaggle
Info
Model for solving a problem from a competition CommonLit Readability Prize. Notebook with the learning process here.
- Downloads last month
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Model tree for v-urushkin/xlm-roberta-base-readability
Base model
FacebookAI/xlm-roberta-base