Instructions to use gutierrez310/some_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gutierrez310/some_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gutierrez310/some_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gutierrez310/some_model") model = AutoModel.from_pretrained("gutierrez310/some_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aba2fb783e9581a747f522c16881da572025cf4231791d90db3510b987e7a34c
- Size of remote file:
- 17.5 MB
- SHA256:
- a426a04044ba759cdc92b814b309bc5e4c32b5e8e71993a22df368f93022391c
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