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:
- 229341646f2618fa6763ecdda5a1d22d809cc9093d0cd562cadc3cebfcc45e51
- Size of remote file:
- 693 MB
- SHA256:
- be08d86d1f6f957dd3473cb6df488284992ac0080eaa56ec853b8801ebbfc043
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