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:
- 2a9d2eced9a4dad716f6d3a46a2aac75ffed474a00705dea3f0597e0b6f7087c
- Size of remote file:
- 3.25 kB
- SHA256:
- 8b7ea0b0e72c03183371a3b0b4f047ee4ffe4c7a89dc00cb45cb67b3a1f389dd
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