Instructions to use flavour/vtde-dinov2-small-multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flavour/vtde-dinov2-small-multilingual-e5-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flavour/vtde-dinov2-small-multilingual-e5-small")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("flavour/vtde-dinov2-small-multilingual-e5-small") model = AutoModel.from_pretrained("flavour/vtde-dinov2-small-multilingual-e5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from flavour/vtde-dinov2-small-multilingual-e5-small: direct link, hf CLI and curl.
- Browser
- Download file 498 Bytes
-
https://huggingface.co/flavour/vtde-dinov2-small-multilingual-e5-small/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://flavour/vtde-dinov2-small-multilingual-e5-small/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/flavour/vtde-dinov2-small-multilingual-e5-small/resolve/main/tokenizer_config.json
498 Bytes
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "processor_class": "VisionTextDualEncoderProcessor", | |
| "sep_token": "</s>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |