Instructions to use ucabqfe/roberta_PER_bieo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ucabqfe/roberta_PER_bieo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ucabqfe/roberta_PER_bieo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ucabqfe/roberta_PER_bieo") model = AutoModelForTokenClassification.from_pretrained("ucabqfe/roberta_PER_bieo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be820b1c8e29f7df8378b775d39e513472dce2507a2c95ac08e67bb06494784c
- Size of remote file:
- 496 MB
- SHA256:
- 71576d07f44aadabca1dae767bf09b299b5dcf121f9d024c18948eebdac419bc
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