Instructions to use gpucce/ProSolAdv_full_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gpucce/ProSolAdv_full_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gpucce/ProSolAdv_full_train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gpucce/ProSolAdv_full_train") model = AutoModelForSequenceClassification.from_pretrained("gpucce/ProSolAdv_full_train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5e95b359bf0cef52ffbc35ed972ab8d5dfb23bcf18896aad731b20141f99d32
- Size of remote file:
- 1.38 GB
- SHA256:
- 746e0706393ed3a8c5360bdfe697caf36334dee4d79591053eebca0de6b91df1
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