Instructions to use AL-GR/Forge-EMB-mmclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AL-GR/Forge-EMB-mmclip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AL-GR/Forge-EMB-mmclip")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AL-GR/Forge-EMB-mmclip", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add metadata, link to paper and GitHub
#1
by nielsr HF Staff - opened
Hi,
I'm Niels from the community science team at Hugging Face.
This pull request improves your model card by adding metadata and links to documentation. Specifically:
- It adds the
pipeline_tag: feature-extractionso that the model is correctly categorized on the Hub. - It adds
library_name: transformersto ensure the model is associated with the Transformers library (as evidenced by theconfig.jsonand tokenizer files). - It provides a direct link to the FORGE paper and the official code repository.
- It adds the citation information for your work.
Please feel free to merge if this looks good to you!
AL-GR changed pull request status to merged