Instructions to use cjvt/sloberta-word-case-classification-multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/sloberta-word-case-classification-multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cjvt/sloberta-word-case-classification-multilabel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cjvt/sloberta-word-case-classification-multilabel") model = AutoModelForTokenClassification.from_pretrained("cjvt/sloberta-word-case-classification-multilabel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classes.json from cjvt/sloberta-word-case-classification-multilabel: direct link, hf CLI and curl.
- Browser
- Download file 337 Bytes
-
https://huggingface.co/cjvt/sloberta-word-case-classification-multilabel/resolve/main/classes.json
- Command line
-
hf download hf://cjvt/sloberta-word-case-classification-multilabel/classes.json
-
curl -L -o classes.json https://huggingface.co/cjvt/sloberta-word-case-classification-multilabel/resolve/main/classes.json
337 Bytes
| { | |
| "LOWER_OTHER": 0, | |
| "LOWER_HYPERCORRECTION": 1, | |
| "LOWER_ADJ_SKI": 2, | |
| "LOWER_ENTITY_PART": 3, | |
| "UPPER_OTHER": 4, | |
| "UPPER_BEGIN": 5, | |
| "UPPER_ENTITY": 6, | |
| "UPPER_DIRECT_SPEECH": 7, | |
| "UPPER_ADJ_OTHER": 8, | |
| "UPPER_ALLUC_OTHER": 9, | |
| "UPPER_ALLUC_BEGIN": 10, | |
| "UPPER_ALLUC_ENTITY": 11, | |
| "UNCAP": -100 | |
| } |