Instructions to use ramixpe/1.8testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramixpe/1.8testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ramixpe/1.8testing", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ramixpe/1.8testing", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 300 Bytes
58bfc24 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"added_tokens_decoder": {},
"auto_map": {
"AutoTokenizer": [
"tokenization_qwen.QWenTokenizer",
null
]
},
"clean_up_tokenization_spaces": true,
"model_max_length": 8192,
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "QWenTokenizer"
}
|