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)# 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 added_tokens.json from modularStarEncoder/ModularStarEncoder-finetuned-27: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
-
https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27/resolve/main/added_tokens.json
- Command line
-
hf download hf://modularStarEncoder/ModularStarEncoder-finetuned-27/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27/resolve/main/added_tokens.json
58 Bytes
| { | |
| "<cls>": 49153, | |
| "<mask>": 49154, | |
| "<sep>": 49152 | |
| } | |