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:
- 7037c9ab4f497ddec45df7bfb7368e801300999ce0719e26becbfa999e22a723
- Size of remote file:
- 2.93 kB
- SHA256:
- 8e4f21eba4a12f4d4907a9ed935ae6f5c58aae9d1b52430bb1ad37f2bb8f99de
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