Token Classification
Transformers
ONNX
Safetensors
encoderfile
Turkish
modernbert
massive
slot-filling
slu
Instructions to use ytu-ce-cosmos/modernbert-tr-massive-slot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/modernbert-tr-massive-slot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ytu-ce-cosmos/modernbert-tr-massive-slot")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/modernbert-tr-massive-slot") model = AutoModelForTokenClassification.from_pretrained("ytu-ce-cosmos/modernbert-tr-massive-slot", device_map="auto") - encoderfile
How to use ytu-ce-cosmos/modernbert-tr-massive-slot with encoderfile:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": false, | |
| "eos_token": "[EOS]", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 8192, | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": false, | |
| "tokenize_chinese_chars": false, | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "[UNK]" | |
| } |