Instructions to use CLTL/binary_icf_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/binary_icf_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/binary_icf_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/binary_icf_classifier") model = AutoModelForSequenceClassification.from_pretrained("CLTL/binary_icf_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ac615b9b7be6468316902509d6bc6133d015148041b72558d11ce4b7bb0e57d
- Size of remote file:
- 3.26 kB
- SHA256:
- fa2e21537dd6ccf9a8c79d54a28b9d296aadfcc0ab29559ece0777ad3d84bf2f
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