Instructions to use brownyeyez/InternVL3_5-Rerank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brownyeyez/InternVL3_5-Rerank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="brownyeyez/InternVL3_5-Rerank", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brownyeyez/InternVL3_5-Rerank", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from brownyeyez/InternVL3_5-Rerank: direct link, hf CLI and curl.
- Browser
- Download file 95 Bytes
-
https://huggingface.co/brownyeyez/InternVL3_5-Rerank/resolve/main/generation_config.json
- Command line
-
hf download hf://brownyeyez/InternVL3_5-Rerank/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/brownyeyez/InternVL3_5-Rerank/resolve/main/generation_config.json
95 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": 151645, | |
| "transformers_version": "4.57.1" | |
| } | |