Instructions to use datasetsANDmodels/request-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/request-extraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/request-extraction") model = AutoModelForMultimodalLM.from_pretrained("datasetsANDmodels/request-extraction") - Notebooks
- Google Colab
- Kaggle
| from transformers import pipeline | |
| extractor = pipeline("text2text-generation", model="request-extraction") | |
| intent ="I really need my broken window to be replaced, can John do it by today" | |
| intent = " Can you come and have a look at our boiler" | |
| label=extractor(intent)[0]["generated_text"] | |
| if label=="": | |
| label="No request detected" | |
| print (label ) |