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:
- a15718d169f976f5cd61fd97ad8b73335f8401f561705e45f353bcf5c11c9333
- Size of remote file:
- 437 MB
- SHA256:
- d2bd4851b52b0c6add1505fd8135a5e196282f6839b91da1759d2323b9546403
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