Instructions to use nbroad/deberta-v3-base-company-names with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/deberta-v3-base-company-names with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nbroad/deberta-v3-base-company-names")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nbroad/deberta-v3-base-company-names") model = AutoModelForTokenClassification.from_pretrained("nbroad/deberta-v3-base-company-names", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 860c27289e46ed6c098dbbcd89166b56a50ab78d17ae71195f460b42b4ba9fe4
- Size of remote file:
- 4.09 kB
- SHA256:
- ba1317f20a1857e524cc648dba69abb42081abb0655cd8877745eb7546d10e47
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