Instructions to use osunlp/MindAct_CandidateGeneration_deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osunlp/MindAct_CandidateGeneration_deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="osunlp/MindAct_CandidateGeneration_deberta-v3-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("osunlp/MindAct_CandidateGeneration_deberta-v3-base") model = AutoModelForSequenceClassification.from_pretrained("osunlp/MindAct_CandidateGeneration_deberta-v3-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d976dd140216df3ef3d5d58c66cdc48b5a9f840e85c7f7d73f63704d4d8c6f19
- Size of remote file:
- 738 MB
- SHA256:
- 9ef5937eba69fe92c4563e60affe9645fd90526fb0eedbec537ead495a3c6291
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