Instructions to use pooria/foxmind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use pooria/foxmind with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'pooria/foxmind'); - GLiNER2
How to use pooria/foxmind with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("pooria/foxmind") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
Download config.json from pooria/foxmind: direct link, hf CLI and curl.
- Browser
- Download file 1.3 kB
-
https://huggingface.co/pooria/foxmind/resolve/main/config.json
- Command line
-
hf download hf://pooria/foxmind/config.json
-
curl -L -o config.json https://huggingface.co/pooria/foxmind/resolve/main/config.json
1.3 kB
| { | |
| "_attn_implementation_autoset": true, | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-07, | |
| "legacy": true, | |
| "max_position_embeddings": 512, | |
| "max_relative_positions": -1, | |
| "model_type": "deberta-v2", | |
| "norm_rel_ebd": "layer_norm", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_dropout": 0, | |
| "pooler_hidden_act": "gelu", | |
| "pooler_hidden_size": 768, | |
| "pos_att_type": [ | |
| "p2c", | |
| "c2p" | |
| ], | |
| "position_biased_input": false, | |
| "position_buckets": 256, | |
| "relative_attention": true, | |
| "share_att_key": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.19.0", | |
| "type_vocab_size": 0, | |
| "vocab_size": 250112, | |
| "gliner2": { | |
| "source": "fastino/gliner2-multi-v1", | |
| "max_width": 8, | |
| "max_count": 20, | |
| "inputs": "input_ids, attention_mask, word_positions, schema_positions", | |
| "outputs": "cls_logits [B,L], count_logits [B,20], span_logits [B,L,T,W]" | |
| }, | |
| "transformers.js_config": { | |
| "use_external_data_format": { | |
| "model.onnx": 1, | |
| "model_fp16.onnx": 1 | |
| }, | |
| "dtype": "fp16" | |
| } | |
| } |