Instructions to use hansgun/model_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hansgun/model_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hansgun/model_test2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hansgun/model_test2") model = AutoModel.from_pretrained("hansgun/model_test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6e47802184c3d7980929daf18a66f6b7b2ac7f70eca95d2a5cd74924347d9a9
- Size of remote file:
- 369 MB
- SHA256:
- cc2fa2285aaf6274b7093e60daef99d1fd3d98e60ec97cf3a5294b1612a2549c
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