Instructions to use thanhduycao/model_show_something with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhduycao/model_show_something with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanhduycao/model_show_something")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanhduycao/model_show_something") model = AutoModelForSequenceClassification.from_pretrained("thanhduycao/model_show_something") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6824350102f8dfa0e1f9be126fd29f4ca7142508c9e4d24ba6c69115b87a5552
- Size of remote file:
- 4.09 kB
- SHA256:
- 2bfeb2a753664f80e8cb685653c839b0c73ccc360925b5013c037c83ca44d3e0
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