Instructions to use YituTech/conv-bert-medium-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YituTech/conv-bert-medium-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="YituTech/conv-bert-medium-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("YituTech/conv-bert-medium-small") model = AutoModel.from_pretrained("YituTech/conv-bert-medium-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c59456c0b9cfe5f6d059858e726870dfe89d1cd743aa01d1f9e2c02aca3999f0
- Size of remote file:
- 70 MB
- SHA256:
- 5d39ff2c6a78d4d22481a00b0b852d90f2463ebd0c3bc237d947fe7b5c5ea0b7
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