Instructions to use hf-internal-testing/remote_code_model_with_dots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/remote_code_model_with_dots with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/remote_code_model_with_dots", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/remote_code_model_with_dots", trust_remote_code=True) model = AutoModel.from_pretrained("hf-internal-testing/remote_code_model_with_dots", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """ | |
| Another module that is imported relatively. | |
| This demonstrates the bug with relative imports in models with dots in their names. | |
| """ | |
| import torch | |
| def custom_function(x): | |
| """A simple function that just returns the input unchanged.""" | |
| return x | |
| def another_helper(): | |
| """Another helper function.""" | |
| return "helper" | |