Instructions to use morpheushoc/test_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morpheushoc/test_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="morpheushoc/test_bert", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("morpheushoc/test_bert", trust_remote_code=True) model = AutoModel.from_pretrained("morpheushoc/test_bert", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3de74fd2d2a1fff260b117415dd8b7f9293767fe0b67c40765e2034df3ed5ac1
- Size of remote file:
- 438 MB
- SHA256:
- 5f99e4511b96ce471345446693e579edb7636a316c72efc76dedb34d579f4de7
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