Instructions to use CLTL/icf-levels-adm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/icf-levels-adm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/icf-levels-adm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/icf-levels-adm") model = AutoModelForSequenceClassification.from_pretrained("CLTL/icf-levels-adm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update README.md
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add model_args and training_args
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initial commit: model weights and config
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initial commit
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