Instructions to use ghadeermobasher/BC4-Original-scibert_scivocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BC4-Original-scibert_scivocab_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BC4-Original-scibert_scivocab_uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BC4-Original-scibert_scivocab_uncased") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BC4-Original-scibert_scivocab_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b7a1f4f
Training in progress, step 144500
Browse files
pytorch_model.bin
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runs/Feb23_16-01-27_cascade-021.cluster/events.out.tfevents.1645629011.cascade-021.cluster.10920.0
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