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
File size: 407 Bytes
a353ce2 1aa9493 a353ce2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": true,
"cls_token": "<s>",
"eos_token": "</s>",
"is_local": true,
"local_files_only": false,
"mask_token": "<mask>",
"model_max_length": 512,
"pad_token": "<pad>",
"sep_token": "</s>",
"sp_model_kwargs": {},
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
}
|