Instructions to use raulgdp/NER-finetuning-Bert-base-prostata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/NER-finetuning-Bert-base-prostata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raulgdp/NER-finetuning-Bert-base-prostata")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/NER-finetuning-Bert-base-prostata") model = AutoModelForTokenClassification.from_pretrained("raulgdp/NER-finetuning-Bert-base-prostata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce7cfac916bc8d8d0f03e441b9b39b0e2ce05f5f6cee30fcb149f8feaa720c26
- Size of remote file:
- 5.37 kB
- SHA256:
- 662de55ac28f7e439e10236697705da2281bc51754296eb2f92c6e14dd3b4a6f
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