Instructions to use CLTL/icf-levels-fac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/icf-levels-fac with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/icf-levels-fac")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/icf-levels-fac") model = AutoModelForSequenceClassification.from_pretrained("CLTL/icf-levels-fac", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64703e84c7ccfbffac75b17c02d44b8a0dbe560e2dfa88c181fb76341e94d2dd
- Size of remote file:
- 506 MB
- SHA256:
- 77fb923e8ac946d37ab7746c9eff53ee67bfd40577b9fea28b4b094e08016345
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