Instructions to use nbroad/deberta-v3-small-company-names with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/deberta-v3-small-company-names with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nbroad/deberta-v3-small-company-names")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nbroad/deberta-v3-small-company-names") model = AutoModelForTokenClassification.from_pretrained("nbroad/deberta-v3-small-company-names", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f9fce0d504aa83dbdf9539e7765a805a8931564471c39c7624800c423e5901c
- Size of remote file:
- 4.09 kB
- SHA256:
- 7c221d274ca4cbf68d7232f401fcb16cb6fd4e854e3c4b2912268e65869e08b4
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