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) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 589ba26c9e4c7da7ef235add3b1e1769b2cc0a4fbffaafb3157a628915631b53
- Size of remote file:
- 9.72 MB
- SHA256:
- 44bbf78764fc96ba18a5749184100b3a5411d7ce4c1367b3b4ea77bb8151804f
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