Instructions to use thanhduycao/model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhduycao/model_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanhduycao/model_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanhduycao/model_v2") model = AutoModelForSequenceClassification.from_pretrained("thanhduycao/model_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3bc2527b5ffc69db406f7f878f3ffc71881357fa1736265917f8876f85f4f81
- Size of remote file:
- 90.9 MB
- SHA256:
- 72f3f02b83c38d1329ea3e61aa0f2f4027757b628888752bdfed939c4208d635
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