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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Xiang Deng commited on
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193cb91
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Parent(s): 778e0f5
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "/
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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{
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"_name_or_path": "microsoft/deberta-v3-base",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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