Instructions to use chanwoopark/roberta-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chanwoopark/roberta-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chanwoopark/roberta-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chanwoopark/roberta-binary") model = AutoModelForTokenClassification.from_pretrained("chanwoopark/roberta-binary") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
473732c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e407af7b91bb57a2e4c1c1f67affbb8b35a422f42e552bd227bd7ca85d68ab58
size 496250232
|