Instructions to use aiface/phobert-base_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/phobert-base_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aiface/phobert-base_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aiface/phobert-base_v3") model = AutoModelForSequenceClassification.from_pretrained("aiface/phobert-base_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e41939d4cd9def5aaaff3cebc68a74ef51e3f33423ccc6b1d2c24cc838a4455
- Size of remote file:
- 5.91 kB
- SHA256:
- c0da11ca44a843a9ef52982a3aa9208f94b35a8fe10a066f1b3ddc11d4dc53c6
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