Instructions to use modularStarEncoder/ModularStarEncoder-finetuned-27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modularStarEncoder/ModularStarEncoder-finetuned-27 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="modularStarEncoder/ModularStarEncoder-finetuned-27", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("modularStarEncoder/ModularStarEncoder-finetuned-27", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from modularStarEncoder/ModularStarEncoder-finetuned-27: direct link, hf CLI and curl.
- Browser
- Download file 1.61 GB
-
https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27/resolve/main/model.safetensors
- Command line
-
hf download hf://modularStarEncoder/ModularStarEncoder-finetuned-27/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27/resolve/main/model.safetensors
1.61 GB
- Xet hash:
- f391b3e018546351ab5f4852979a8eb237ec2d588c8bb5f8a76b4550823b5ede
- Size of remote file:
- 1.61 GB
- SHA256:
- c0865a8d7a1bad3f4cf98cdb3f8a11f1dfd7cb83b19fc399f8585bebe51e8ed0
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