Zero-Shot Classification
Transformers
Safetensors
English
French
multilingual
bert
feature-extraction
jul
Instructions to use usejul/jul-decision-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usejul/jul-decision-e5-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="usejul/jul-decision-e5-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("usejul/jul-decision-e5-small") model = AutoModel.from_pretrained("usejul/jul-decision-e5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from usejul/jul-decision-e5-small: direct link, hf CLI and curl.
- Browser
- Download file 756 Bytes
-
https://huggingface.co/usejul/jul-decision-e5-small/resolve/main/config.json
- Command line
-
hf download hf://usejul/jul-decision-e5-small/config.json
-
curl -L -o config.json https://huggingface.co/usejul/jul-decision-e5-small/resolve/main/config.json
756 Bytes
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 384, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "is_decoder": false, | |
| "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", | |
| "tie_word_embeddings": true, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "transformers_version": "5.17.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 250037 | |
| } | |