Download config.json from agentlans/GIST-small-c4-en-nvidia_domain: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/agentlans/GIST-small-c4-en-nvidia_domain/resolve/main/config.json
- Command line
-
hf download hf://agentlans/GIST-small-c4-en-nvidia_domain/config.json
-
curl -L -o config.json https://huggingface.co/agentlans/GIST-small-c4-en-nvidia_domain/resolve/main/config.json
2.16 kB
| { | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "finetuning_task": "text-classification", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "Adult", | |
| "1": "Arts_and_Entertainment", | |
| "2": "Autos_and_Vehicles", | |
| "3": "Beauty_and_Fitness", | |
| "4": "Books_and_Literature", | |
| "5": "Business_and_Industrial", | |
| "6": "Computers_and_Electronics", | |
| "7": "Finance", | |
| "8": "Food_and_Drink", | |
| "9": "Games", | |
| "10": "Health", | |
| "11": "Hobbies_and_Leisure", | |
| "12": "Home_and_Garden", | |
| "13": "Internet_and_Telecom", | |
| "14": "Jobs_and_Education", | |
| "15": "Law_and_Government", | |
| "16": "News", | |
| "17": "Online_Communities", | |
| "18": "People_and_Society", | |
| "19": "Pets_and_Animals", | |
| "20": "Real_Estate", | |
| "21": "Science", | |
| "22": "Sensitive_Subjects", | |
| "23": "Shopping", | |
| "24": "Sports", | |
| "25": "Travel_and_Transportation" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "label2id": { | |
| "Adult": 0, | |
| "Arts_and_Entertainment": 1, | |
| "Autos_and_Vehicles": 2, | |
| "Beauty_and_Fitness": 3, | |
| "Books_and_Literature": 4, | |
| "Business_and_Industrial": 5, | |
| "Computers_and_Electronics": 6, | |
| "Finance": 7, | |
| "Food_and_Drink": 8, | |
| "Games": 9, | |
| "Health": 10, | |
| "Hobbies_and_Leisure": 11, | |
| "Home_and_Garden": 12, | |
| "Internet_and_Telecom": 13, | |
| "Jobs_and_Education": 14, | |
| "Law_and_Government": 15, | |
| "News": 16, | |
| "Online_Communities": 17, | |
| "People_and_Society": 18, | |
| "Pets_and_Animals": 19, | |
| "Real_Estate": 20, | |
| "Science": 21, | |
| "Sensitive_Subjects": 22, | |
| "Shopping": 23, | |
| "Sports": 24, | |
| "Travel_and_Transportation": 25 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "transformers_version": "5.0.0.dev0", | |
| "type_vocab_size": 2, | |
| "use_cache": false, | |
| "vocab_size": 30522 | |
| } | |