Instructions to use oeg/BioNER-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oeg/BioNER-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oeg/BioNER-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oeg/BioNER-es") model = AutoModelForTokenClassification.from_pretrained("oeg/BioNER-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdd46560b1dbb6fa389bc8f1fd443da69d6f7f55ac24e5d1d581d7e3319513b2
- Size of remote file:
- 496 MB
- SHA256:
- 0dd200a36c10458f545a8f7522f060b3a3bf3074c2237a518fac931d88c9d86f
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