Instructions to use CLTL/binary_icf_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLTL/binary_icf_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CLTL/binary_icf_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CLTL/binary_icf_classifier") model = AutoModelForSequenceClassification.from_pretrained("CLTL/binary_icf_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from CLTL/binary_icf_classifier: direct link, hf CLI and curl.
- Browser
- Download file 893 kB
-
https://huggingface.co/CLTL/binary_icf_classifier/resolve/main/vocab.json
- Command line
-
hf download hf://CLTL/binary_icf_classifier/vocab.json
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curl -L -o vocab.json https://huggingface.co/CLTL/binary_icf_classifier/resolve/main/vocab.json
893 kB
File too large to display, you can check the raw version instead.