Instructions to use Mardiyyah/CellFinder_TAPT_LLRD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/CellFinder_TAPT_LLRD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mardiyyah/CellFinder_TAPT_LLRD")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/CellFinder_TAPT_LLRD") model = AutoModelForTokenClassification.from_pretrained("Mardiyyah/CellFinder_TAPT_LLRD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb9c7eccfb208344217f17a091dff825d77d57501ebc0785cdf91c48879f28b2
- Size of remote file:
- 5.69 kB
- SHA256:
- d59e3029f96afd906c349147578e2d368d7e5a351e092a37b06c366cce7631cd
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