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:
- 7f5aba5478980af4e95505e478f95315aec2dfa7ae55f6d44e6912b6d6183a05
- Size of remote file:
- 349 MB
- SHA256:
- ee776af82270e3014fa4b75b2466bd87fb449ba0cbbecbd715c7084f58e5e226
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