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
Download tokenizer_config.json from ramixpe/1.8testing: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
-
https://huggingface.co/ramixpe/1.8testing/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ramixpe/1.8testing/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ramixpe/1.8testing/resolve/main/tokenizer_config.json
300 Bytes
| { | |
| "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" | |
| } | |