Transformers
PyTorch
English
Chinese
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
data augmentation
Instructions to use beyond/genius-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-base-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-base-chinese") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-base-chinese") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"do_basic_tokenize": true,
|
| 4 |
"do_lower_case": true,
|
| 5 |
"mask_token": "[MASK]",
|
| 6 |
-
"name_or_path": "../saved_models/bart-base-chinese-chinese_clean_passages_80m_with_sketch-10000000/checkpoint-
|
| 7 |
"never_split": null,
|
| 8 |
"pad_token": "[PAD]",
|
| 9 |
"sep_token": "[SEP]",
|
|
|
|
| 3 |
"do_basic_tokenize": true,
|
| 4 |
"do_lower_case": true,
|
| 5 |
"mask_token": "[MASK]",
|
| 6 |
+
"name_or_path": "../saved_models/bart-base-chinese-chinese_clean_passages_80m_with_sketch-10000000/checkpoint-93750",
|
| 7 |
"never_split": null,
|
| 8 |
"pad_token": "[PAD]",
|
| 9 |
"sep_token": "[SEP]",
|