Instructions to use creat89/NER_FEDA_Cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Cs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Cs") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from creat89/NER_FEDA_Cs: direct link, hf CLI and curl.
- Browser
- Download file 1.89 GB
-
https://huggingface.co/creat89/NER_FEDA_Cs/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://creat89/NER_FEDA_Cs/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/creat89/NER_FEDA_Cs/resolve/main/pytorch_model.bin
1.89 GB
- Xet hash:
- 808477a7bacb2d0407f15a987f785d32c4804f4f32d8c3d1ac71e63af116d58d
- Size of remote file:
- 1.89 GB
- SHA256:
- 6ea69a4bf497dc03ed7e22dc0b3ffcfaa75031e950aea796dff5a5d12a56ef26
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