Instructions to use CLTL/icf-levels-att with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/icf-levels-att with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/icf-levels-att")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/icf-levels-att") model = AutoModelForSequenceClassification.from_pretrained("CLTL/icf-levels-att") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aad5d734c9a59911dca097d7050dc78e756f3d9c27ba154e3169ce82e80f263
- Size of remote file:
- 506 MB
- SHA256:
- f013e256b01ec27e9673a817f036328983863403a72ecc00b7f6aaad0595e470
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