Instructions to use hf-internal-testing/test_dynamic_model_with_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/test_dynamic_model_with_tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/test_dynamic_model_with_tokenizer", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/test_dynamic_model_with_tokenizer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "tokenizer_class": "NewTokenizer", "auto_map": {"AutoTokenizer": ["tokenization.NewTokenizer", "tokenization_fast.NewTokenizerFast"]}} |