Instructions to use ghadeermobasher/BioNLP13CG-Modified-scibert-uncased_latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioNLP13CG-Modified-scibert-uncased_latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioNLP13CG-Modified-scibert-uncased_latest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioNLP13CG-Modified-scibert-uncased_latest") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioNLP13CG-Modified-scibert-uncased_latest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 713c77a
Training in progress, step 3000
Browse files
pytorch_model.bin
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runs/Feb21_19-27-18_cascade-113.cluster/events.out.tfevents.1645468063.cascade-113.cluster.25239.0
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