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:
- 97da3590a2e5d89659d22530cbbf74386ebe1d9ed295fcaaba7b8a25ce5ceba0
- Size of remote file:
- 349 MB
- SHA256:
- c3a6ca8a08ec9eff90e5f8540ed1645a8937e8734f1b8c3332828fcf096ec283
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