Instructions to use ChillingDream/dap-mbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChillingDream/dap-mbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ChillingDream/dap-mbert-base")# Load model directly from transformers import AutoTokenizer, BertForRLM tokenizer = AutoTokenizer.from_pretrained("ChillingDream/dap-mbert-base") model = BertForRLM.from_pretrained("ChillingDream/dap-mbert-base") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, link to paper
#1
by nielsr HF Staff - opened
This PR ensures the model can be found at https://huggingface.co/models?pipeline_tag=feature-extraction. Also, it links the model to the paper
https://huggingface.co/papers/2305.09148.
ChillingDream changed pull request status to merged