Instructions to use BASF-AI/ChEmbed-vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BASF-AI/ChEmbed-vanilla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BASF-AI/ChEmbed-vanilla", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BASF-AI/ChEmbed-vanilla", trust_remote_code=True) model = AutoModel.from_pretrained("BASF-AI/ChEmbed-vanilla", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model weights
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