Text Classification
Transformers
Safetensors
gemma3_text
gemma3
intent-classification
multilingual
text-embeddings-inference
Instructions to use blue-machines/Multilingual_Intent_Classifier_checkpoint_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blue-machines/Multilingual_Intent_Classifier_checkpoint_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="blue-machines/Multilingual_Intent_Classifier_checkpoint_v1")# Load model directly from transformers import AutoTokenizer, Gemma3Intent8LStudent tokenizer = AutoTokenizer.from_pretrained("blue-machines/Multilingual_Intent_Classifier_checkpoint_v1") model = Gemma3Intent8LStudent.from_pretrained("blue-machines/Multilingual_Intent_Classifier_checkpoint_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from blue-machines/Multilingual_Intent_Classifier_checkpoint_v1: direct link, hf CLI and curl.
- Browser
- Download file 1.79 kB
-
https://huggingface.co/blue-machines/Multilingual_Intent_Classifier_checkpoint_v1/resolve/main/config.json
- Command line
-
hf download hf://blue-machines/Multilingual_Intent_Classifier_checkpoint_v1/config.json
-
curl -L -o config.json https://huggingface.co/blue-machines/Multilingual_Intent_Classifier_checkpoint_v1/resolve/main/config.json
1.79 kB
| { | |
| "_sliding_window_pattern": 6, | |
| "architectures": [ | |
| "Gemma3Intent8LStudent" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_logit_softcapping": null, | |
| "bos_token_id": 2, | |
| "classifier_dropout": 0.1, | |
| "dtype": "float32", | |
| "eos_token_id": 1, | |
| "final_logit_softcapping": null, | |
| "head_dim": 256, | |
| "hidden_activation": "gelu_pytorch_tanh", | |
| "hidden_size": 320, | |
| "id2label": { | |
| "0": "provide_info", | |
| "1": "affirm", | |
| "2": "deny", | |
| "3": "correction", | |
| "4": "question", | |
| "5": "clarify_request", | |
| "6": "unclear" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1216, | |
| "keys_to_ignore_at_inference": [ | |
| "past_key_values", | |
| "pooled" | |
| ], | |
| "label2id": { | |
| "affirm": 1, | |
| "clarify_request": 5, | |
| "correction": 3, | |
| "deny": 2, | |
| "provide_info": 0, | |
| "question": 4, | |
| "unclear": 6 | |
| }, | |
| "layer_types": [ | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "max_position_embeddings": 32768, | |
| "model_type": "gemma3_text", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 8, | |
| "num_key_value_heads": 1, | |
| "num_labels_intent": 7, | |
| "pad_token_id": 0, | |
| "pooling": "mean", | |
| "problem_type": "single_label_classification", | |
| "query_pre_attn_scalar": 256, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 1000000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sliding_window": 512, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.10.1", | |
| "use_bidirectional_attention": false, | |
| "use_cache": false, | |
| "vocab_size": 262144 | |
| } | |