Instructions to use Mardiyyah/bioformer-ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/bioformer-ner-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mardiyyah/bioformer-ner-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/bioformer-ner-model") model = AutoModelForTokenClassification.from_pretrained("Mardiyyah/bioformer-ner-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95ac6ee9f5c2eca20e065bbb06e2775679b2ec3a237652b45d015fb63bed7051
- Size of remote file:
- 166 MB
- SHA256:
- 05f9592f249a6ca5d6030a72fc179ab0a60e6c8101ece2f7add4a72f978de1a1
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