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:
- 8086c620e52bbb70496dd6dfa2524b7b44c0ab36bfb4123623e6a2f1d2283b80
- Size of remote file:
- 393 MB
- SHA256:
- b222fc57f85f304f3b4723bc93ce42e8226fb917e4eb229687f8874d22f8738c
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