Visual Document Retrieval
Safetensors
sentence-transformers
colpali-engine
qwen3_5
vision-language
colbert
late-interaction
multi-vector
matryoshka
vidore
token-compression
Instructions to use tencent/EVIE-4.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tencent/EVIE-4.5B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tencent/EVIE-4.5B") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download code/student/scripts/eval_run.sh from tencent/EVIE-4.5B: direct link, hf CLI and curl.
- Browser
- Download file 241 Bytes
-
https://huggingface.co/tencent/EVIE-4.5B/resolve/main/code/student/scripts/eval_run.sh
- Command line
-
hf download hf://tencent/EVIE-4.5B/code/student/scripts/eval_run.sh
-
curl -L -o eval_run.sh https://huggingface.co/tencent/EVIE-4.5B/resolve/main/code/student/scripts/eval_run.sh
241 Bytes
| ROOT="${ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}" | |
| REPO="${REPO:-$(cd "$ROOT/../.." && pwd)}" | |
| export EVAL_BASE_MODEL="${EVAL_BASE_MODEL:-tencent/EVIE-Preview-4.5B}" | |
| exec bash "$REPO/code/shared/eval_run.sh" | |