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:
- 8ea06a724eee117eda3fc83bb219b5b7d6c9baf56d3c3a4f8be28d5816e1493a
- Size of remote file:
- 393 MB
- SHA256:
- 4bf1435f5b6f9727c9b7fbf89ba4ef5cf3e8cf68b4365d0868187f2f32ef69f7
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