Instructions to use oeg/software_benchmark_multidomain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oeg/software_benchmark_multidomain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oeg/software_benchmark_multidomain")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oeg/software_benchmark_multidomain") model = AutoModelForTokenClassification.from_pretrained("oeg/software_benchmark_multidomain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c57ac2a9c7c8b92c2360cb9876f0e3f7af0b112ac20b4843744a23b6c35b1dac
- Size of remote file:
- 3.96 kB
- SHA256:
- 8f49264594ad89123c0534bd34b7bf82abef776ec2b0c27532e1853c63552dd0
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