Feature Extraction
Transformers
Safetensors
English
qwen2
embeddings
base-model
qwen
text-embeddings-inference
Instructions to use ssmits/Qwen2-7B-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssmits/Qwen2-7B-embed-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ssmits/Qwen2-7B-embed-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ssmits/Qwen2-7B-embed-base") model = AutoModel.from_pretrained("ssmits/Qwen2-7B-embed-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| tags: | |
| - embeddings | |
| - base-model | |
| - qwen | |
| license: apache-2.0 | |
| # Qwen2-7B-embed-base | |
| This is a base model derived from Qwen2.5-7B-Instruct with the language modeling head removed. | |
| It's intended to be used as a base for embedding tasks and further fine-tuning. | |
| ## Model Details | |
| - Base model: Qwen2.5-7B-Instruct | |
| - The 'lm_head' layer has been removed | |
| - Maintains the original model's norm layers | |
| - Suitable for embedding tasks and custom head additions | |