Instructions to use christopheparisse/complexity_90mChildCorpora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christopheparisse/complexity_90mChildCorpora_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="christopheparisse/complexity_90mChildCorpora_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("christopheparisse/complexity_90mChildCorpora_model") model = AutoModelForSequenceClassification.from_pretrained("christopheparisse/complexity_90mChildCorpora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82bedc55c8c58fef1ab80efd5c832e91be539d07f9eacd9fe0f8795e3713d7b1
- Size of remote file:
- 553 MB
- SHA256:
- b8ff910c905efc15a5c5e9274fc7167491d40eba56ceea42ba4be4c133bc8661
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