Instructions to use atharvat80/tner-xlm-roberta-base-fin-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atharvat80/tner-xlm-roberta-base-fin-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="atharvat80/tner-xlm-roberta-base-fin-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("atharvat80/tner-xlm-roberta-base-fin-onnx") model = AutoModelForTokenClassification.from_pretrained("atharvat80/tner-xlm-roberta-base-fin-onnx") - Notebooks
- Google Colab
- Kaggle
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