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
File size: 334 Bytes
6055811 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | """
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"
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