Instructions to use creat89/NER_FEDA_Latin2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Latin2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Latin2") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Latin2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from creat89/NER_FEDA_Latin2: direct link, hf CLI and curl.
- Browser
- Download file 1.9 GB
-
https://huggingface.co/creat89/NER_FEDA_Latin2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://creat89/NER_FEDA_Latin2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/creat89/NER_FEDA_Latin2/resolve/main/pytorch_model.bin
1.9 GB
- Xet hash:
- cb9b11c9aae2187f19f561fced8ac49bc58d23b405c85648e973d5f7ee05e040
- Size of remote file:
- 1.9 GB
- SHA256:
- 1046325e1b934c29c31a0430078eb97cdbbaa646a6c02b26e0cb48e9488454b6
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