Text Classification
Transformers
PyTorch
Safetensors
English
distilbert
intent-detection
communication-analysis
multi-label-classification
psychology
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use SamanthaStorm/intentanalyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamanthaStorm/intentanalyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamanthaStorm/intentanalyzer")# Load model directly from transformers import AutoTokenizer, MultiLabelIntentClassifier tokenizer = AutoTokenizer.from_pretrained("SamanthaStorm/intentanalyzer") model = MultiLabelIntentClassifier.from_pretrained("SamanthaStorm/intentanalyzer") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:03ca556d7eea0088f593c8aa90e044e37a484df6f779b0be7ff697d4fa452bfb
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size 265481736
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