Instructions to use Javtor/biomedical-topic-categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Javtor/biomedical-topic-categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Javtor/biomedical-topic-categorization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Javtor/biomedical-topic-categorization") model = AutoModelForSequenceClassification.from_pretrained("Javtor/biomedical-topic-categorization") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:9bc7cf1a52f79b71dd58106d856c72924aa366d393531e604a9022f44cc6339d
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size 1334462960
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