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
File size: 361 Bytes
c4744a2 8728d75 c4744a2 8728d75 c4744a2 | 1 2 3 4 5 6 7 8 9 | 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 ) |