Instructions to use Einas/second_module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Einas/second_module with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Einas/second_module")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Einas/second_module") model = AutoModel.from_pretrained("Einas/second_module", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e2d3de825b4b00ac4e53c42c199511300e11017bb512b06e748dea8d2e93a9f
- Size of remote file:
- 134 Bytes
- SHA256:
- db9408ab1f38547797aa679af4e2184f50f46d681fe15ea5d559fa357e66137a
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