Instructions to use datasetsANDmodels/purpose-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/purpose-extraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/purpose-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/purpose-extraction") - Notebooks
- Google Colab
- Kaggle
File size: 276 Bytes
e6fb393 36827f3 e6fb393 bc210a2 e6fb393 | 1 2 3 4 5 6 7 8 | from transformers import pipeline
extractor = pipeline("text2text-generation", model="purpose-extraction")
intent = " I am calling to invite you the meeting."
label=extractor(intent)[0]["generated_text"]
if label=="":
label="No purpose detected"
print (label ) |