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:
- 1aef81efd281e700d3b77e7825cfecf834bf23f192e585a7a74e92cda03a9d1e
- Size of remote file:
- 5.3 kB
- SHA256:
- e4a970661a5acc1bd9d22d153ad785b90c3948e053bcee1b96658fabd72aabf7
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