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
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e17cb240b8d456743f8383173c9deca580c3703616c7c0f0b889400aa6e6ea03
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size 737720396
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