Feature Extraction
Transformers
Safetensors
Korean
han2han
text-generation
hanja
hangul
historical-korean
encoder-decoder
custom_code
Instructions to use cadazar/han2han-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cadazar/han2han-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cadazar/han2han-pt", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("cadazar/han2han-pt", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 328 Bytes
bfd235a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"mask_token": "<mask>",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 2048,
"pad_token": "<pad>",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
|