Feature Extraction
Transformers
Safetensors
seqscreen
proteins
molecules
bioinformatics
drug-discovery
custom_code
Instructions to use SaeedLab/SeqScreen-Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaeedLab/SeqScreen-Finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaeedLab/SeqScreen-Finetuning", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaeedLab/SeqScreen-Finetuning", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c4e0b7e6aaafb66c04306e61a7d2903c7bd7ff74daa9028ba66056373d41993c
- Size of remote file:
- 143 kB
- SHA256:
- dbc6ef9a39ca406d3719a6c383a1c49fa093b4b6e463938ba9cf09153ba4e325
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