Instructions to use sarim/myModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarim/myModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sarim/myModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sarim/myModel") model = AutoModel.from_pretrained("sarim/myModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2e836b62413f133498fb2413e6639ce15995aa68fdf35fb95e089aea3f5917e
- Size of remote file:
- 265 MB
- SHA256:
- af60b08bdfa0ad4bc0ccfbdecc9d3d1e2cceceb10b9f21ecbd4d0ee64b2da124
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