Instructions to use phunganhsang/Revision_Meta_Pho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/Revision_Meta_Pho with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phunganhsang/Revision_Meta_Pho")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phunganhsang/Revision_Meta_Pho") model = AutoModelForSequenceClassification.from_pretrained("phunganhsang/Revision_Meta_Pho") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 100b5331ddf87fcb6d8efd582802bfa046730509184b5ed6b702428950450890
- Size of remote file:
- 5.2 kB
- SHA256:
- 4d8946450f79ae37a4d132ba6e3dd3a77f843f1b6abe9cb9b5ff5c64ec706b03
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