Instructions to use MilosKosRad/BioNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilosKosRad/BioNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MilosKosRad/BioNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MilosKosRad/BioNER") model = AutoModelForTokenClassification.from_pretrained("MilosKosRad/BioNER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68a42e16f08394fd9fcff898e5377c9d5e35211022fb39da42e086986dcb4582
- Size of remote file:
- 3.31 kB
- SHA256:
- 665ddc6d4151b71652349af474b5b108aa08d2b4c4571331972ecc41faacc829
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