Instructions to use creat89/NER_FEDA_Latin1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Latin1 with Transformers:
# Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Latin1") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Latin1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a4040b744dec850da2f8fa947ab40474ac3195eb976e68d4ab6e7cdea8c7b6
- Size of remote file:
- 1.9 GB
- SHA256:
- 99d6b5a1c36b0f5770bb0b39a642a85959a08b7b1a0ac9546815dc8496bf1f00
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