Instructions to use oeg/software_benchmark_bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oeg/software_benchmark_bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oeg/software_benchmark_bio")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oeg/software_benchmark_bio") model = AutoModelForTokenClassification.from_pretrained("oeg/software_benchmark_bio") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1468a563b47ea475fa1300360ffc34ac6bf85c3ae3ef05e7cdddcf4e76619497
- Size of remote file:
- 437 MB
- SHA256:
- 440a1f25a7b47f9e5e234b30d6729fe26e529ef7800b6957d15d701932463816
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