Instructions to use HugoGiddins/is_call_deberta_v3_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HugoGiddins/is_call_deberta_v3_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HugoGiddins/is_call_deberta_v3_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HugoGiddins/is_call_deberta_v3_small") model = AutoModelForSequenceClassification.from_pretrained("HugoGiddins/is_call_deberta_v3_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
tokenizer_config: drop transformers-5-only extra_special_tokens list (breaks 4.x load)
9be317a verified Download tokenizer_config.json from HugoGiddins/is_call_deberta_v3_small: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/HugoGiddins/is_call_deberta_v3_small/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://HugoGiddins/is_call_deberta_v3_small/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/HugoGiddins/is_call_deberta_v3_small/resolve/main/tokenizer_config.json
388 Bytes
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "[CLS]", | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "eos_token": "[SEP]", | |
| "mask_token": "[MASK]", | |
| "model_max_length": 224, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "split_by_punct": false, | |
| "tokenizer_class": "DebertaV2Tokenizer", | |
| "unk_id": 3, | |
| "unk_token": "[UNK]", | |
| "vocab_type": "spm" | |
| } |