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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e0ec964766a4b9c46ac6a0dba03038d646a8f8ca5d1092cd0170a63497ff9ed
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size 496248308
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