Instructions to use YituTech/conv-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YituTech/conv-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="YituTech/conv-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("YituTech/conv-bert-base") model = AutoModel.from_pretrained("YituTech/conv-bert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12a7394ae5e014a79ae1a7a75e6f6fbe4dab0d4e9103e69c01cbd186b3820e2c
- Size of remote file:
- 423 MB
- SHA256:
- 5771e904639b7d9248e8df184dc8ea5831a41c0a381547c694199e1b8204ca28
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