Instructions to use thanhduycao/model_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhduycao/model_v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanhduycao/model_v7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanhduycao/model_v7") model = AutoModelForSequenceClassification.from_pretrained("thanhduycao/model_v7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f15be8ced2fcfe9dd0e2b81092d6f6de7632b92b20b123879644b28208c25ca
- Size of remote file:
- 90.9 MB
- SHA256:
- b27111dd1d721fe1e660743c29d0613bbdc9423b684c64714ff3bc1440454b37
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