Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use datasetsANDmodels/occupation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datasetsANDmodels/occupation-extraction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("datasetsANDmodels/occupation-extraction") model = AutoModelForSeq2SeqLM.from_pretrained("datasetsANDmodels/occupation-extraction") - Notebooks
- Google Colab
- Kaggle
File size: 315 Bytes
75722f1 bb98627 b653e77 | 1 2 3 4 5 6 7 8 9 | import websockets
from transformers import pipeline
extractor = pipeline("text2text-generation", model="datasetsANDmodels/occupation-extraction")
intent ="I need a lawn mower for my garden"
label=extractor(intent)[0]["generated_text"]
if label=="":
label="No occupation detected"
print (label )
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