Feature Extraction
Transformers
Safetensors
scripture_genome_head
scripture
multilingual
information-retrieval
semantic-search
genome-regression
frozen-encoder
custom-head
custom_code
Instructions to use chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3: direct link, hf CLI and curl.
- Browser
- Download file 767 Bytes
-
https://huggingface.co/chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3/resolve/main/config.json
- Command line
-
hf download hf://chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3/config.json
-
curl -L -o config.json https://huggingface.co/chainuser1/Scripture_Genome_Multilingual_Head_BGE_M3/resolve/main/config.json
767 Bytes
| { | |
| "architectures": [ | |
| "ScriptureGenomeHeadModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_scripture_genome.ScriptureGenomeConfig", | |
| "AutoModel": "modeling_scripture_genome.ScriptureGenomeHeadModel" | |
| }, | |
| "checkpoint_sha256": "5a68ef73167f48899c927dfb5e25dfe8ff50d0b8e8310cd6f3ff3c93b8bf9952", | |
| "dtype": "float32", | |
| "encoder_name": "BAAI/bge-m3", | |
| "encoder_revision": "5617a9f61b028005a4858fdac845db406aefb181", | |
| "gene_ids_sha256": "16878f92a2f6434b39ef6d68c633f2cd815751f2b4be8767a309e32442baf195", | |
| "hidden_dim": 4096, | |
| "input_dim": 1024, | |
| "max_length": 512, | |
| "model_type": "scripture_genome_head", | |
| "output_dim": 568, | |
| "pooling": "cls_l2_normalized", | |
| "track": "question", | |
| "transformers_version": "4.57.6" | |
| } | |