Token Classification
Transformers
Safetensors
Vietnamese
roberta
ner
phobert
vietnamese
food-order
cs221
Instructions to use CS221DoAn/vietnamese_food_order_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CS221DoAn/vietnamese_food_order_extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CS221DoAn/vietnamese_food_order_extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CS221DoAn/vietnamese_food_order_extraction") model = AutoModelForTokenClassification.from_pretrained("CS221DoAn/vietnamese_food_order_extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6241dcc9d3116fb22699184771b2b4326070d7befcf26393e732abc2ec3e7a9b
- Size of remote file:
- 5.2 kB
- SHA256:
- 3797a32f3aa43b19119e7cfa5aeb0ce7e4b4342ffe630e17db41418fb6b8d04c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.