Instructions to use creat89/NER_FEDA_Pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Pl with Transformers:
# Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Pl") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Pl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1df133fe4ea801c52eb58199b80f9d93fbd803616a9e816d9d0344a7ecefd57c
- Size of remote file:
- 725 MB
- SHA256:
- 7565a1c1f987a83bbe47538c62aa6f4c22654050ab92001c562dea5aca187b33
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