Instructions to use harr/my-awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harr/my-awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="harr/my-awesome-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("harr/my-awesome-model") model = AutoModel.from_pretrained("harr/my-awesome-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c8d434e98e5fb7b6a9563d7dd6c026bf4669a6744d1e225c76ac0968b69e65a
- Size of remote file:
- 265 MB
- SHA256:
- 66c159b2630079fe7b540cd8935b220eb366e905e5ecf1b0fe136e62fa2dd29c
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