Instructions to use JohnDoe70/embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use JohnDoe70/embed with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'JohnDoe70/embed');
Download config.json from JohnDoe70/embed: direct link, hf CLI and curl.
- Browser
- Download file 591 Bytes
-
https://huggingface.co/JohnDoe70/embed/resolve/main/config.json
- Command line
-
hf download hf://JohnDoe70/embed/config.json
-
curl -L -o config.json https://huggingface.co/JohnDoe70/embed/resolve/main/config.json
591 Bytes
| { | |
| "_name_or_path": "sentence-transformers/all-mpnet-base-v2", | |
| "architectures": [ | |
| "MPNetForMaskedLM" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "mpnet", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "relative_attention_num_buckets": 32, | |
| "transformers_version": "4.30.2", | |
| "vocab_size": 30527 | |
| } | |