Instructions to use leminda-ai/Hebrew_affix_find2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leminda-ai/Hebrew_affix_find2 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelTokenClassification tokenizer = AutoTokenizer.from_pretrained("leminda-ai/Hebrew_affix_find2") model = BertForMultiLabelTokenClassification.from_pretrained("leminda-ai/Hebrew_affix_find2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8628b8a538521f9462c69bc47effcd54c12cac17e10477d7ced1614c4bea0de3
- Size of remote file:
- 737 MB
- SHA256:
- 249677243942aa1fa029cb90524161961f536be4b8268e255908c29c1ca6afd3
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