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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1a5fe6fa4a55d74dedaecbadd48d1289062f706a3086f0ab69422acca5c1f8f
- Size of remote file:
- 3.96 kB
- SHA256:
- f9245c97af9cbcdb3bf37f5a971ab39948aa657430cab41e799382f2768678c2
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