Instructions to use tner/roberta-large-bc5cdr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-bc5cdr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-bc5cdr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-bc5cdr") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-bc5cdr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7034531df8ecf45587e9fffb335a3e478eb22f62ce1072edbf87eb4413b76a6
- Size of remote file:
- 1.42 GB
- SHA256:
- d0cc8e222dac07d5a50543730f6ecb975baebc27cca179d02388d9ec175f7fae
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