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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ddf11842336b8dffc4f2962df5d42005fe2e3cdf00560e64f3881c1b5a779ba3
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size 437354396
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