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:
- 658661d1319a586cd8c84b08e83cb1fd4e7eb86b6e55f4d49412f80ca110c8c0
- Size of remote file:
- 3.25 kB
- SHA256:
- 375a2208baaad0f5e70dee0ca7e78dda9d2f994cae282b3ddd6eed8ad7f8a1b4
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