Instructions to use hsila/chembed-plug-e6-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsila/chembed-plug-e6-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hsila/chembed-plug-e6-8", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hsila/chembed-plug-e6-8", trust_remote_code=True) model = AutoModel.from_pretrained("hsila/chembed-plug-e6-8", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "max_seq_length": 8192, | |
| "do_lower_case": false | |
| } |