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:
- ca9bb5b92e9f1be729b00f91b576270625484db8113a7caa931205eafb028d74
- Size of remote file:
- 5.37 kB
- SHA256:
- 5a287e56df380061f8250906a229c275a037fff64203acd63a0b4293118c9cb1
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