Instructions to use aiface/vi-bert-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/vi-bert-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aiface/vi-bert-base_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aiface/vi-bert-base_v1") model = AutoModelForSequenceClassification.from_pretrained("aiface/vi-bert-base_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download confusion_matrix_test.csv from aiface/vi-bert-base_v1: direct link, hf CLI and curl.
- Browser
- Download file 84 Bytes
-
https://huggingface.co/aiface/vi-bert-base_v1/resolve/main/confusion_matrix_test.csv
- Command line
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hf download hf://aiface/vi-bert-base_v1/confusion_matrix_test.csv
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curl -L -o confusion_matrix_test.csv https://huggingface.co/aiface/vi-bert-base_v1/resolve/main/confusion_matrix_test.csv
84 Bytes
| ,negative,neutral,positive | |
| negative,1350,21,38 | |
| neutral,53,70,44 | |
| positive,75,34,1481 | |