Instructions to use jason9693/SoongsilBERT-base-beep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jason9693/SoongsilBERT-base-beep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jason9693/SoongsilBERT-base-beep")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jason9693/SoongsilBERT-base-beep") model = AutoModelForSequenceClassification.from_pretrained("jason9693/SoongsilBERT-base-beep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e1625fbd159ce11a23670264b1b0ac5be1c679874cb3aae7a42e0324b3c3860
- Size of remote file:
- 1.52 kB
- SHA256:
- 17405666aa60e70369a597d3349370e9143c329ab67f7e8f9ba33f2abb679861
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