Instructions to use tner/deberta-v3-large-fin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/deberta-v3-large-fin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/deberta-v3-large-fin")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/deberta-v3-large-fin") model = AutoModelForTokenClassification.from_pretrained("tner/deberta-v3-large-fin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a483ce6f60f679dfd61392d796cc0628d70b51dc014995f607d98893eb2c30e3
- Size of remote file:
- 1.74 GB
- SHA256:
- 4bd27b8e8c2afa43d3cb6598a3d30d80c249ccb756c9dc4caea10e1d3e15b20c
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