Instructions to use kevinjesse/roberta-MT4TS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinjesse/roberta-MT4TS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kevinjesse/roberta-MT4TS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kevinjesse/roberta-MT4TS") model = AutoModelForTokenClassification.from_pretrained("kevinjesse/roberta-MT4TS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1673a08abfee25683347ffd2f491530e843a669bc7324616f1579d38a1833a2b
- Size of remote file:
- 650 MB
- SHA256:
- 45db8442074e1580799cfe3e6d6158757165ba4ced2d99333b683739ed055ad6
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