Instructions to use ghadeermobasher/BioNLP13CG-Original-scibert_latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioNLP13CG-Original-scibert_latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioNLP13CG-Original-scibert_latest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioNLP13CG-Original-scibert_latest") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioNLP13CG-Original-scibert_latest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fb80d69 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7c13693d03e4b7c0b4aeae27b8d99519e57af47e65c70a488052f3230d6df043
size 2863
|