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:
- 1b728f83bba429d860d9e21599fed8f9aadb7a593419f0fbde0df9e03c32c8e5
- Size of remote file:
- 369 MB
- SHA256:
- e4a05b82956c9074cb38bfdbf89d9854d361a48bbcda1087147e2886fa562bc2
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