Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use P829692/vietnamese_feedback_model_2_1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use P829692/vietnamese_feedback_model_2_1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="P829692/vietnamese_feedback_model_2_1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("P829692/vietnamese_feedback_model_2_1.0") model = AutoModelForSequenceClassification.from_pretrained("P829692/vietnamese_feedback_model_2_1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33a8612862464b21a0c3bba167762ad610e1f6c91e205dd3e17aeba58f058225
- Size of remote file:
- 438 MB
- SHA256:
- de0e64135233c9af21425e3742764fabd1feb495513690fa9c4df76a77d3e482
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