Instructions to use oleshy/ontochem_biobert_half with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oleshy/ontochem_biobert_half with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oleshy/ontochem_biobert_half")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oleshy/ontochem_biobert_half") model = AutoModelForTokenClassification.from_pretrained("oleshy/ontochem_biobert_half") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 172758e3e5443731aa566b9623161d261d79fed5bd51a23edef96b2819c127ed
- Size of remote file:
- 4.92 kB
- SHA256:
- 3c420074ff790e4aa7c06b06f33dc77569777022a1516fa9d8421c68dd13d21e
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