Instructions to use pooria/foxmind-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use pooria/foxmind-small with Transformers.js:
// ⚠️ Unknown pipeline tag
- GLiNER2
How to use pooria/foxmind-small with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("pooria/foxmind-small") # 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-small: direct link, hf CLI and curl.
- Browser
- Download file 1.28 kB
-
https://huggingface.co/pooria/foxmind-small/resolve/main/config.json
- Command line
-
hf download hf://pooria/foxmind-small/config.json
-
curl -L -o config.json https://huggingface.co/pooria/foxmind-small/resolve/main/config.json
1.28 kB
| { | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "dtype": "float16", | |
| "eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "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": 6, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_dropout": 0.0, | |
| "pooler_hidden_act": "gelu", | |
| "pooler_hidden_size": 384, | |
| "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": 128011, | |
| "gliner2": { | |
| "source": "fastino/gliner2.5-small-v1", | |
| "revision": "7132dc4561c3f94563c6147e75ffa8ef34c4964a", | |
| "architecture": "boundary", | |
| "pool_size": 192, | |
| "pair_temperature": 1.0, | |
| "abstention_threshold": 0.5, | |
| "overlap_policy": "flat", | |
| "inputs": "input_ids, attention_mask, word_positions, schema_positions", | |
| "outputs": "cls_logits [1,L], span_probs [1,L,C], span_bounds [1,C,2]" | |
| } | |
| } |