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")# 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
- Xet hash:
- b737eaece200d0c6f85dc464a123685fb4d43b77caa3a7d91a1506a245ed2033
- Size of remote file:
- 506 MB
- SHA256:
- fbbb4df0437e7fc209e10f8d405faab17d05fb38230b845b9853e5bda50dba1b
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