Instructions to use dotzero24/intent_identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dotzero24/intent_identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dotzero24/intent_identifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dotzero24/intent_identifier") model = AutoModelForSequenceClassification.from_pretrained("dotzero24/intent_identifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from dotzero24/intent_identifier: direct link, hf CLI and curl.
- Browser
- Download file 670 MB
-
https://huggingface.co/dotzero24/intent_identifier/resolve/main/model.safetensors
- Command line
-
hf download hf://dotzero24/intent_identifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/dotzero24/intent_identifier/resolve/main/model.safetensors
670 MB
- Xet hash:
- 87ea47c0806d3b03f66f60499a00c9b4e34a3a8f3446b6a957a88807da21e74d
- Size of remote file:
- 670 MB
- SHA256:
- 20f7a3ba7e572b22f071e4c216c830fb7601f08566f66e182127ac1d27632703
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