Feature Extraction
Transformers
Safetensors
English
bert
tadse
sentence-embeddings
contrastive-learning
model-merge
text-embeddings-inference
Instructions to use minsik-oh/template-dialogue-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minsik-oh/template-dialogue-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="minsik-oh/template-dialogue-embedding")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("minsik-oh/template-dialogue-embedding") model = AutoModel.from_pretrained("minsik-oh/template-dialogue-embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download serialization-audit.json from minsik-oh/template-dialogue-embedding: direct link, hf CLI and curl.
- Browser
- Download file 853 Bytes
-
https://huggingface.co/minsik-oh/template-dialogue-embedding/resolve/main/serialization-audit.json
- Command line
-
hf download hf://minsik-oh/template-dialogue-embedding/serialization-audit.json
-
curl -L -o serialization-audit.json https://huggingface.co/minsik-oh/template-dialogue-embedding/resolve/main/serialization-audit.json
853 Bytes
| { | |
| "source": "/home/minsik/Template-Contrastive-Embedding/artifacts/top2-merge-20261012/model", | |
| "source_sha256": { | |
| "config.json": "c012a36331f86b9332e4b9682d0358691e69c19b1fc3a51f20677ded5d006bd8", | |
| "merge-audit.json": "0aa0a411558a6500138b3e2a63bdb3c7842ae9b256bce7ddb732ab9f70ee1fd2", | |
| "pytorch_model.bin": "95cdb58da09ec3a7860e29bd85fc6d8801c952f2a4b4a0ad4cc29a34a5575da1", | |
| "special_tokens_map.json": "303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3", | |
| "tokenizer_config.json": "a9786fd1e33d22d0bd3254912c74e599113117d04c7f3cdb95f2c186398239eb", | |
| "vocab.txt": "07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3" | |
| }, | |
| "source_unchanged": true, | |
| "all_model_tensors_identical": true, | |
| "tokenizer_probes_identical": true, | |
| "pooler_reload_max_abs_diff": 0.0, | |
| "weights_format": "safetensors" | |
| } | |