Instructions to use tner/deberta-v3-large-btc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/deberta-v3-large-btc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/deberta-v3-large-btc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/deberta-v3-large-btc") model = AutoModelForTokenClassification.from_pretrained("tner/deberta-v3-large-btc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 926d4344545919bac392146946a859a513a1144ccdb129e598e4b04568607fb7
- Size of remote file:
- 1.74 GB
- SHA256:
- aa770c2d72e8ce121994409b7d7089b221e807ca730f279b7f0e441471fe3ac7
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