Instructions to use ghadeermobasher/BioRED-Dis-WLT-128-BlueBERT-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioRED-Dis-WLT-128-BlueBERT-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioRED-Dis-WLT-128-BlueBERT-50")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioRED-Dis-WLT-128-BlueBERT-50") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioRED-Dis-WLT-128-BlueBERT-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd260a4ccc3f21e8e37d4551579ee4a18fe9b17264ff35681423cd2af7c6d1f6
- Size of remote file:
- 2.86 kB
- SHA256:
- b3dd53747b24ce659f9378f2f48ec5135188d102b9e08aa32a20717ff524f7c3
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