Text Classification
Transformers
Safetensors
English
deberta-v2
feature-extraction
typed-decisions
calibrated
decision-model
open-jev
deberta-v3
text-embeddings-inference
Instructions to use com-kotobalabs/open-jev-deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use com-kotobalabs/open-jev-deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="com-kotobalabs/open-jev-deberta-v3-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("com-kotobalabs/open-jev-deberta-v3-large") model = AutoModel.from_pretrained("com-kotobalabs/open-jev-deberta-v3-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
open-jev-deberta-v3-large: Jev-shaped typed-decision model (in-domain 0.854, OOD 0.690), bundle + loader + card
19bf9a6 verified Download tokenizer_config.json from com-kotobalabs/open-jev-deberta-v3-large: direct link, hf CLI and curl.
- Browser
- Download file 1.91 kB
-
https://huggingface.co/com-kotobalabs/open-jev-deberta-v3-large/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://com-kotobalabs/open-jev-deberta-v3-large/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/com-kotobalabs/open-jev-deberta-v3-large/resolve/main/tokenizer_config.json
1.91 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "128000": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "128001": { | |
| "content": "[STATE]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "128002": { | |
| "content": "[Q]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "128003": { | |
| "content": "[OPT]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": [ | |
| "[STATE]", | |
| "[Q]", | |
| "[OPT]" | |
| ], | |
| "bos_token": "[CLS]", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "eos_token": "[SEP]", | |
| "extra_special_tokens": {}, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "sp_model_kwargs": {}, | |
| "split_by_punct": false, | |
| "tokenizer_class": "DebertaV2Tokenizer", | |
| "unk_token": "[UNK]", | |
| "vocab_type": "spm" | |
| } | |