Instructions to use HUBioDataLab/freesolv_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HUBioDataLab/freesolv_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HUBioDataLab/freesolv_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HUBioDataLab/freesolv_model") model = AutoModelForSequenceClassification.from_pretrained("HUBioDataLab/freesolv_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5814c395c02a7c2f9fda0f3dbb1d9e25c3933d6bcb8ec4fe2382d320ca93cb75
- Size of remote file:
- 14.5 kB
- SHA256:
- 8c2270cae9954b8ab14d597c2dbeb5423294aac4c134cc2665f7669ad0d42db3
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