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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (d8c057d32b30e30db7291d027b971b811c0b1f8f)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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