Instructions to use Den4ikAI/ruBert_base_intent_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruBert_base_intent_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/ruBert_base_intent_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruBert_base_intent_detection") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/ruBert_base_intent_detection") - Notebooks
- Google Colab
- Kaggle
Commit ·
07d30c1
1
Parent(s): 3bf83ff
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (9d0b01ba0efbdcd83f619bba36a754914e2a89fe)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef75b4f1a981ad5734b14cb5ecea214061477a5456825d15287db7fd11dea93e
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size 713441610
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