Instructions to use ghadeermobasher/BioNLP13CG-Chem_Imbalanced-biobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioNLP13CG-Chem_Imbalanced-biobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioNLP13CG-Chem_Imbalanced-biobert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioNLP13CG-Chem_Imbalanced-biobert") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioNLP13CG-Chem_Imbalanced-biobert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fd04297a1c0c314dac85f14633f8ffb64289921db63a8b983e02e49a03773c5
- Size of remote file:
- 2.86 kB
- SHA256:
- 1c27d83755bfc2e9007deceafbf2af7d02ac0a861b9da89df1ae5ab0034f8bfc
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