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:
- 05bae8a0415712fd696ab6c6fc0255d183fd317937e38a45e8fc38df5bec682a
- Size of remote file:
- 5.18 kB
- SHA256:
- 534c7f073cb58ceb64a640cdbf6c9037cb368636805199e6e63d0b9c2a732492
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