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
📋 Documentation Enhancement Suggestion
#7 opened 3 months ago
by
CroviaTrust
📋 Documentation Enhancement Suggestion
#6 opened 3 months ago
by
CroviaTrust
Create README.md
#5 opened almost 2 years ago
by
Poisoner
Adds missing tokenizer configuration file
#4 opened about 2 years ago
by
lysandre
Create README.md
#3 opened over 2 years ago
by
shobhitjethani
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot