Instructions to use tliumozilla/multilingual-e5-base-intent-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tliumozilla/multilingual-e5-base-intent-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tliumozilla/multilingual-e5-base-intent-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tliumozilla/multilingual-e5-base-intent-detection") model = AutoModelForSequenceClassification.from_pretrained("tliumozilla/multilingual-e5-base-intent-detection") - Notebooks
- Google Colab
- Kaggle
| { | |
| "label2id": { | |
| "Chat": 0, | |
| "Search": 1 | |
| }, | |
| "id2label": { | |
| "0": "Chat", | |
| "1": "Search" | |
| } | |
| } |