Instructions to use Lammem310/multi-model-support-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lammem310/multi-model-support-intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lammem310/multi-model-support-intent-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lammem310/multi-model-support-intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("Lammem310/multi-model-support-intent-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Lammem310/multi-model-support-intent-classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Lammem310/multi-model-support-intent-classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://Lammem310/multi-model-support-intent-classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Lammem310/multi-model-support-intent-classifier/resolve/main/model.safetensors
268 MB
- Xet hash:
- c427e2f1e89a82cf1e1a07eec267cccb695be74cef5bb52738ee0dc8ca959dbe
- Size of remote file:
- 268 MB
- SHA256:
- 83eb09615f83c244dc7e69271f39d18aa544d8225d3cd6e4a16203a1ab322b92
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