Instructions to use cafierom/bert-base-cased-ChemTok-ZN250K-V1-finetuned-Tyrosinase-IC50s-V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cafierom/bert-base-cased-ChemTok-ZN250K-V1-finetuned-Tyrosinase-IC50s-V with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cafierom/bert-base-cased-ChemTok-ZN250K-V1-finetuned-Tyrosinase-IC50s-V")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cafierom/bert-base-cased-ChemTok-ZN250K-V1-finetuned-Tyrosinase-IC50s-V") model = AutoModelForSequenceClassification.from_pretrained("cafierom/bert-base-cased-ChemTok-ZN250K-V1-finetuned-Tyrosinase-IC50s-V") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b2eef26524fc9fdb2529961819ec55b7782771c7e0809aa2351a1398c1f94fa
- Size of remote file:
- 433 MB
- SHA256:
- f0e3faa472537066a071fdfa046401b3bc2b98903d48b776936c748f2ff5a8c7
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