Instructions to use arnolfokam/roberta-base-kin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/roberta-base-kin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/roberta-base-kin")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/roberta-base-kin") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/roberta-base-kin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f544b2389d3955225571319d14ef127d409b754f37294c7ab2a0fda81fe3916
- Size of remote file:
- 496 MB
- SHA256:
- 9e28583f0fcde9d547c908e54920ed5e3f59abb38a4b9be2fdc9b1e88bd7d120
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