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
- Xet hash:
- a0f9332638f8f19324aca6383923a02330a62d549e6a4f3c574a89d617d8415c
- Size of remote file:
- 52.7 MB
- SHA256:
- 61638a461bf5546413549d0d1f1646974cb536d97c318c15f2ea14b08ad71ccd
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