Instructions to use YituTech/conv-bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YituTech/conv-bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="YituTech/conv-bert-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("YituTech/conv-bert-small") model = AutoModel.from_pretrained("YituTech/conv-bert-small") - Inference
- Notebooks
- Google Colab
- Kaggle
Adds tokenizer_config.json file
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"model_max_length": 512, "do_lower_case": true}
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